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public/pdfs/roadmaps/ai-engineer.pdf
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public/roadmap-content/ai-engineer.json
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|
||||
{
|
||||
"_hYN0gEi9BL24nptEtXWU": {
|
||||
"title": "Introduction",
|
||||
"description": "An AI Engineer uses pre-trained models and existing AI tools to improve user experiences. They focus on applying AI in practical ways, without building models from scratch. This is different from AI Researchers and ML Engineers, who focus more on creating new models or developing AI theory.",
|
||||
"links": []
|
||||
},
|
||||
"GN6SnI7RXIeW8JeD-qORW": {
|
||||
"title": "What is an AI Engineer?",
|
||||
"description": "An AI Engineer uses pre-trained models and existing AI tools to improve user experiences. They focus on applying AI in practical ways, without building models from scratch. This is different from AI Researchers and ML Engineers, who focus more on creating new models or developing AI theory.",
|
||||
"links": []
|
||||
},
|
||||
"jSZ1LhPdhlkW-9QJhIvFs": {
|
||||
"title": "AI Engineer vs ML Engineer",
|
||||
"description": "AI Engineer differs from an AI Researcher or ML Engineer. AI Engineers focus on leveraging pre-trained models and existing AI technologies to enhance user experiences without the need to train models from scratch.",
|
||||
"links": []
|
||||
},
|
||||
"wf2BSyUekr1S1q6l8kyq6": {
|
||||
"title": "LLMs",
|
||||
"description": "LLM or Large Language Models are AI models that are trained on a large amount of text data to understand and generate human language. They are the core of applications like ChatGPT, and are used for a variety of tasks, including language translation, question answering, and more.",
|
||||
"links": []
|
||||
},
|
||||
"KWjD4xEPhOOYS51dvRLd2": {
|
||||
"title": "Inference",
|
||||
"description": "Inference involves using models developed through machine learning to make predictions or decisions. As part of the AI Engineer Roadmap, an AI engineer might create an inference engine, which uses rules and logic to infer new information based on existing data. Often used in natural language processing, image recognition, and similar tasks, inference can help AI systems provide useful outputs based on their training. Working with inference involves understanding different models, how they work, and how to apply them to new data to achieve reliable results.",
|
||||
"links": []
|
||||
},
|
||||
"xostGgoaYkqMO28iN2gx8": {
|
||||
"title": "Training",
|
||||
"description": "Training in the field of AI involves feeding an algorithm or a neural network with data, and allowing it to adjust its parameters in order to improve its predictions over time. The main objective is to design the system to accurately recognize the patterns within the data set and make accurate predictions or decisions when confronted with new data. In the roadmap to becoming an AI engineer, understanding and implementing various training methodologies is a critical step. AI engineers require this skill to develop accurate and efficient algorithms that can learn from and make decisions based on data.",
|
||||
"links": []
|
||||
},
|
||||
"XyEp6jnBSpCxMGwALnYfT": {
|
||||
"title": "Embeddings",
|
||||
"description": "Embedding refers to the conversion or mapping of discrete objects such as words, phrases, or even entire sentences into vectors of real numbers. It's an essential part of data preprocessing where high-dimensional data is transformed into a lower-dimensional equivalent. This dimensional reduction helps to preserve the semantic relationships between objects. In AI engineering, embedding techniques are often used in language-orientated tasks like sentiment analysis, text classification, and Natural Language Processing (NLP) to provide an understanding of the vast linguistic inputs AI models receive.",
|
||||
"links": []
|
||||
},
|
||||
"LnQ2AatMWpExUHcZhDIPd": {
|
||||
"title": "Vector Databases",
|
||||
"description": "Vector databases are specialized databases that are capable of handling and processing data in the form of vectors. Unlike traditional relational databases, which store data in tables, vector databases work with data that can be represented as mathematical vectors. This makes them particularly well-suited for dealing with large, multi-dimensional datasets, which are commonplace in the field of artificial intelligence. As an AI Engineer, understanding and utilizing vector databases can come in handy for numerous tasks such as similarity search, image recognition, and other machine learning applications where large-scale vector data needs to be quickly queried.",
|
||||
"links": []
|
||||
},
|
||||
"9JwWIK0Z2MK8-6EQQJsCO": {
|
||||
"title": "RAG",
|
||||
"description": "RAG is a paradigm for applying transformer-based generative models in Natural Language Processing tasks. It leverages a hybrid approach, i.e. it combines the capabilities of pre-trained language models and powerful retrieval methods to generate responses. For an AI Engineer, RAG forms an essential part of the NLP (Natural Language Processing) toolkit. This model operates by first retrieving relevant context from a large corpus, and then utilizing this context to generate detailed and contextually rich responses. Its successful application spans across a multitude of NLP tasks including machine translation, dialogue systems, QnA systems, and more. Therefore, RAG is a significant stop on the route to becoming an accomplished AI engineer as it equips them with skills to deal with complex NLP tasks efficiently.",
|
||||
"links": []
|
||||
},
|
||||
"Dc15ayFlzqMF24RqIF_-X": {
|
||||
"title": "Prompt Engineering",
|
||||
"description": "Prompt Engineering refers to the process of carefully designing and shaping queries or prompts to extract specific responses or behaviors from artificial intelligence models. These prompts are often thought of as the gateway to exploiting these AI models and essential tools for machine testing and performance evaluations. They can affect the model's response, making it invaluable to AI Engineers who are developing AI systems and need to test model's reaction and adaptability with diverse prompts.",
|
||||
"links": []
|
||||
},
|
||||
"9XCxilAQ7FRet7lHQr1gE": {
|
||||
"title": "AI Agents",
|
||||
"description": "AI Agents are a type of LLM that can be used to automate complex workflows that involve multiple steps and decisions.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "What are AI Agents?",
|
||||
"url": "https://aws.amazon.com/what-is/ai-agents/",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "What are AI Agents?",
|
||||
"url": "https://www.youtube.com/watch?v=F8NKVhkZZWI",
|
||||
"type": "video"
|
||||
}
|
||||
]
|
||||
},
|
||||
"5QdihE1lLpMc3DFrGy46M": {
|
||||
"title": "AI vs AGI",
|
||||
"description": "AI (Artificial Intelligence) refers to systems designed to perform specific tasks, like image recognition or language translation, often excelling in those narrow areas. In contrast, AGI (Artificial General Intelligence) would be a system capable of understanding, learning, and applying intelligence across a wide range of tasks, much like a human, and could adapt to new situations without specific programming.",
|
||||
"links": []
|
||||
},
|
||||
"qJVgKe9uBvXc-YPfvX_Y7": {
|
||||
"title": "Impact on Product Development",
|
||||
"description": "Incorporating Artificial Intelligence (AI) can transform the process of creating, testing, and delivering products. This could range from utilizing AI for enhanced data analysis to inform product design, use of AI-powered automation in production processes, or even AI as a core feature of the product itself.",
|
||||
"links": []
|
||||
},
|
||||
"K9EiuFgPBFgeRxY4wxAmb": {
|
||||
"title": "Roles and Responsiblities",
|
||||
"description": "An AI Engineer is entrusted with the task of designing and implementing AI models. This involves working closely with Data Scientists to transform machine learning models into APIs, ensuring that the models are equipped to interact with software applications. AI Engineers are proficient in a variety of programming languages, work with vast datasets, and utilize AI-related applications. Additionally, they often handle tasks such as data preprocessing, data analysis, and machine learning algorithm deployment. They also troubleshoot any issues that might emerge during the AI lifecycle, while maintaining a high level of knowledge about the latest industry trends and technological advancements.",
|
||||
"links": []
|
||||
},
|
||||
"d7fzv_ft12EopsQdmEsel": {
|
||||
"title": "Pre-trained Models",
|
||||
"description": "Pre-trained models are simply models created by some machine learning engineers to solve a problem. Such models are often shared and other machine learning engineers use these models for similar problems. These models are called pre-trained models because they have been previously trained by using large datasets. These pre-trained models can be used as the starting point for a variety of AI tasks, often as part of transfer learning, to save on the resources that would be needed to start a learning process from scratch. This hastens the journey of becoming an AI engineer as one gets to understand how to improve and fine-tune pre-existing models to specific tasks, making them an essential part of an AI engineer's development plan.",
|
||||
"links": []
|
||||
},
|
||||
"1Ga6DbOPc6Crz7ilsZMYy": {
|
||||
"title": "Benefits of Pre-trained Models",
|
||||
"description": "LLM models are not only difficult to train, but they are also expensive. Pre-trained models are a cost-effective solution for developers and organizations looking to leverage the power of AI without the need to train models from scratch.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Why you should use Pre-trained Models",
|
||||
"url": "https://cohere.com/blog/pre-trained-vs-in-house-nlp-models",
|
||||
"type": "article"
|
||||
}
|
||||
]
|
||||
},
|
||||
"MXqbQGhNM3xpXlMC2ib_6": {
|
||||
"title": "Limitations and Considerations",
|
||||
"description": "Pre-trained Models are AI models that are previously trained on a large benchmark dataset and provide a starting point for AI developers. They help in saving training time and computational resources. However, they also come with certain limitations and considerations. These models can sometimes fail to generalize well to tasks outside of their original context due to issues like dataset bias or overfitting. Furthermore, using them without understanding their internal working can lead to problematic consequences. Finally, transfer learning, which is the mechanism to deploy these pre-trained models, might not always be the optimum solution for every AI project. Thus, an AI Engineer must be aware of these factors while working with pre-trained models.",
|
||||
"links": []
|
||||
},
|
||||
"2WbVpRLqwi3Oeqk1JPui4": {
|
||||
"title": "Open AI Models",
|
||||
"description": "Open AI Models are a set of pre-designed, predefined models provided by OpenAI. These models are trained using Machine Learning algorithms to perform artificial intelligence tasks without any need of explicit programming. OpenAI's models are suited for various applications such as text generation, classification and extraction, allowing AI engineers to leverage them for effective implementations. Therefore, understanding and utilizing these models becomes an essential aspect in the roadmap for an AI engineer to develop AI-powered solutions with more efficiency and quality.",
|
||||
"links": []
|
||||
},
|
||||
"vvpYkmycH0_W030E-L12f": {
|
||||
"title": "Capabilities / Context Length",
|
||||
"description": "OpenAI's capabilities include processing complex tasks like language understanding, code generation, and problem-solving. However, context length limits how much information the model can retain and reference during a session, affecting long conversations or documents. Advances aim to increase this context window for more coherent and detailed outputs over extended interactions.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "OpenAI Website",
|
||||
"url": "https://platform.openai.com/docs/guides/fine-tuning/token-limits",
|
||||
"type": "article"
|
||||
}
|
||||
]
|
||||
},
|
||||
"LbB2PeytxRSuU07Bk0KlJ": {
|
||||
"title": "Cut-off Dates / Knowledge",
|
||||
"description": "OpenAI models have a knowledge cutoff date, meaning they only have access to information available up until a specific time. For example, my knowledge is up to date until September 2023. As a result, I may not be aware of recent developments, events, or newly released technology. Additionally, these models don’t have real-time internet access, so they can't retrieve or update information beyond their training data. This can limit the ability to provide the latest details or react to rapidly changing topics.",
|
||||
"links": []
|
||||
},
|
||||
"hy6EyKiNxk1x84J63dhez": {
|
||||
"title": "Anthropic's Claude",
|
||||
"description": "Claude is a family of large language models developed by Anthropic. Claude 3.5 Sonnet is the latest model (at the time of this writing) in the series, known for its advanced reasoning and multi-modality capabilities.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Clause Website",
|
||||
"url": "https://claude.ai/",
|
||||
"type": "article"
|
||||
}
|
||||
]
|
||||
},
|
||||
"oe8E6ZIQWuYvHVbYJHUc1": {
|
||||
"title": "Google's Gemini",
|
||||
"description": "Gemini, formerly known as Bard, is a generative artificial intelligence chatbot developed by Google. Based on the large language model of the same name, it was launched in 2023 after being developed as a direct response to the rise of OpenAI's ChatGPT",
|
||||
"links": []
|
||||
},
|
||||
"3PQVZbcr4neNMRr6CuNzS": {
|
||||
"title": "Azure AI",
|
||||
"description": "Azure AI is a comprehensive set of AI services and tools provided by Microsoft. It includes a range of capabilities such as natural language processing, computer vision, speech recognition, and more. Azure AI is designed to help developers and organizations build, deploy, and scale AI solutions quickly and easily.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Azure Website",
|
||||
"url": "https://azure.microsoft.com/en-us/products/ai-services/",
|
||||
"type": "article"
|
||||
}
|
||||
]
|
||||
},
|
||||
"OkYO-aSPiuVYuLXHswBCn": {
|
||||
"title": "AWS Sagemaker",
|
||||
"description": "AWS Sagemaker is a fully managed platform that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. Sagemaker takes care of the underlying infrastructure, allowing developers to focus on building and improving their models.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "AWS Website",
|
||||
"url": "https://aws.amazon.com/sagemaker/",
|
||||
"type": "article"
|
||||
}
|
||||
]
|
||||
},
|
||||
"8XjkRqHOdyH-DbXHYiBEt": {
|
||||
"title": "Hugging Face Models",
|
||||
"description": "Hugging Face has a wide range of pre-trained models that can be used for a variety of tasks, including language understanding and generation, translation, chatbots, and more. Anyone can create an account and use their models, and the models are organized by task, provider, and other criteria.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Hugging Face",
|
||||
"url": "https://huggingface.co/models",
|
||||
"type": "article"
|
||||
}
|
||||
]
|
||||
},
|
||||
"n-Ud2dXkqIzK37jlKItN4": {
|
||||
"title": "Mistral AI",
|
||||
"description": "Mistral AI is a French startup founded in 2023, specializing in open-source large language models (LLMs). Created by former Meta and Google DeepMind researchers, it focuses on efficient, customizable AI solutions that promote transparency. Its flagship models, Mistral Large and Mixtral, offer state-of-the-art performance with lower resource requirements, gaining significant attention in the AI field.",
|
||||
"links": []
|
||||
},
|
||||
"a7qsvoauFe5u953I699ps": {
|
||||
"title": "Cohere",
|
||||
"description": "Cohere is an AI platform that provides natural language processing (NLP) models and tools, enabling developers to integrate powerful language understanding capabilities into their applications. It offers features like text generation, semantic search, classification, and embeddings. Cohere focuses on scalability and ease of use, making it popular for tasks such as content creation, customer support automation, and building search engines with advanced semantic understanding. It also provides a user-friendly API for custom NLP applications.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Cohere",
|
||||
"url": "https://cohere.com/",
|
||||
"type": "website"
|
||||
}
|
||||
]
|
||||
},
|
||||
"5ShWZl1QUqPwO-NRGN85V": {
|
||||
"title": "OpenAI Models",
|
||||
"description": "OpenAI is an artificial intelligence research lab that is known for its cutting-edge models. These models, like GPT-3, are pre-trained on vast amounts of data and perform remarkably well on tasks like language translation, question-answering, and more without needing any specific task training. Using these pre-trained models can give a massive head-start in building AI applications, as it saves the substantial time and resources that are required for training models from scratch. For an AI Engineer, understanding and leveraging these pre-trained models can greatly accelerate development and lead to superior AI systems.",
|
||||
"links": []
|
||||
},
|
||||
"zdeuA4GbdBl2DwKgiOA4G": {
|
||||
"title": "OpenAI API",
|
||||
"description": "OpenAI API is a powerful language model developed by OpenAI, a non-profit artificial intelligence research organization. It uses machine learning to generate text from a given set of keywords or sentences, presenting the capability to learn, understand, and generate human-friendly content. As an AI Engineering aspirant, familiarity with tools like the OpenAI API positions you on the right track. It can help with creating AI applications that can analyze and generate text, which is particularly useful in AI tasks such as data extraction, summarization, translation, and natural language processing.",
|
||||
"links": []
|
||||
},
|
||||
"_bPTciEA1GT1JwfXim19z": {
|
||||
"title": "Chat Completions API",
|
||||
"description": "The Chat Completions API allows developers to create conversational agents by sending user inputs (prompts) and receiving model-generated responses. It supports multiple-turn dialogues, maintaining context across exchanges to deliver relevant responses. This API is often used for chatbots, customer support, and interactive applications where maintaining conversation flow is essential.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "OpenAI Website",
|
||||
"url": "https://platform.openai.com/docs/api-reference/chat/completions",
|
||||
"type": "article"
|
||||
}
|
||||
]
|
||||
},
|
||||
"9-5DYeOnKJq9XvEMWP45A": {
|
||||
"title": "Writing Prompts",
|
||||
"description": "Writing Prompts are specific instructions or guides provided to OpenAI API to produce desired texts. They can range from simple, straight sentences intended for generating specific outputs to more complex, creative ones aiming for more open-ended, artificial intelligent responses. While the OpenAI API is capable of executing an extensive variety of tasks, how it performs is strongly influenced by how these writing prompts are crafted and constructed. During the journey to become an AI Engineer, understanding and designing effective prompts becomes vital for proper system training and interaction.",
|
||||
"links": []
|
||||
},
|
||||
"nyBgEHvUhwF-NANMwkRJW": {
|
||||
"title": "Open AI Playground",
|
||||
"description": "Open AI Playground is an interactive platform, provided by OpenAI, that enables developers to experiment with and understand the capabilities of OpenAI's offerings. Here, you can try out several cutting-edge language models like GPT-3 or Codex. This tool is crucial in the journey of becoming an AI Engineer, because it provides a hands-on experience in implementing and testing language models. Manipulating models directly helps you get a good grasp on how AI models can influence the results based on input parameters. Therefore, Open AI Playground holds significance on the AI Engineer's roadmap not only as a learning tool, but also as a vital platform for rapid prototyping and debugging.",
|
||||
"links": []
|
||||
},
|
||||
"15XOFdVp0IC-kLYPXUJWh": {
|
||||
"title": "Fine-tuning",
|
||||
"description": "OpenAI API allows you to fine-tune and adapt pre-trained models to specific tasks or datasets, improving performance on domain-specific problems. By providing custom training data, the model learns from examples relevant to the intended application, such as specialized customer support, unique content generation, or industry-specific tasks.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "OpenAI Docs",
|
||||
"url": "https://platform.openai.com/docs/guides/fine-tuning",
|
||||
"type": "article"
|
||||
}
|
||||
]
|
||||
},
|
||||
"qzvp6YxWDiGakA2mtspfh": {
|
||||
"title": "Maximum Tokens",
|
||||
"description": "Number of Maximum tokens in OpenAI API depends on the model you are using.\n\nFor example, the `gpt-4o` model has a maximum of 128,000 tokens.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "OpenAI API Documentation",
|
||||
"url": "https://platform.openai.com/docs/api-reference/completions/create",
|
||||
"type": "article"
|
||||
}
|
||||
]
|
||||
},
|
||||
"FjV3oD7G2Ocq5HhUC17iH": {
|
||||
"title": "Token Counting",
|
||||
"description": "Token counting refers to the process of quantifying the occurrence of tokens—unique instances of meaningful words, symbols, or other atomic units in a dataset. In artificial intelligence (AI), specifically in natural language processing (NLP), token counting serves as a foundational building block to understand and analyze text data. It helps in performing tasks such as text classification, sentiment analysis, and other language modeling tasks. It also forms the basis of techniques like Bag of Words, Term Frequency-Inverse Document Frequency (TF-IDF), and word embeddings, which are crucial in developing effective AI models.",
|
||||
"links": []
|
||||
},
|
||||
"DZPM9zjCbYYWBPLmQImxQ": {
|
||||
"title": "Pricing Considerations",
|
||||
"description": "Pricing Considerations refer to the factors and elements that need to be taken into account when setting the price for a product or service. It includes aspects such as cost of production, market demand, competition, and perceived value. In the AI Engineer Roadmap, it can denote the determination of the cost involved in AI model development, implementation, maintenance, and upgrades. Various factors such as the complexity of models, the resources required, timeline, expertise needed, and the value provided to the user play a significant role in pricing considerations.",
|
||||
"links": []
|
||||
},
|
||||
"8ndKHDJgL_gYwaXC7XMer": {
|
||||
"title": "AI Safety and Ethics",
|
||||
"description": "Learn about the principles and guidelines for building safe and ethical AI systems.",
|
||||
"links": []
|
||||
},
|
||||
"cUyLT6ctYQ1pgmodCKREq": {
|
||||
"title": "Prompt Injection Attacks",
|
||||
"description": "Prompt Injection Attacks refer to a cyber threat where nefarious actors manipulate or inject malicious codes into the system using various techniques like SQL injection, Cross-Site Scripting (XSS), or Command Injection. This practice aims to exploit a software system's vulnerabilities, allowing unauthorized access to sensitive information. In the AI Engineer Roadmap, understanding these attack types is essential. Knowledge about such attacks can help developers in AI to build robust and secure AI systems that can resist potential threats and ensure system integrity. Better understanding of threat landscape can guide engineers toward implementing additional security measures during the design and development process of AI applications.",
|
||||
"links": []
|
||||
},
|
||||
"lhIU0ulpvDAn1Xc3ooYz_": {
|
||||
"title": "Bias and Fareness",
|
||||
"description": "Bias and fairness in AI arise when models produce skewed or unequal outcomes for different groups, often reflecting imbalances in the training data. This can lead to discriminatory effects in critical areas like hiring, lending, and law enforcement. Addressing these concerns involves ensuring diverse and representative data, implementing fairness metrics, and ongoing monitoring to prevent biased outcomes. Techniques like debiasing algorithms and transparency in model development help mitigate bias and promote fairness in AI systems.",
|
||||
"links": []
|
||||
},
|
||||
"sWBT-j2cRuFqRFYtV_5TK": {
|
||||
"title": "Security and Privacy Concerns",
|
||||
"description": "Security and Privacy Concerns encapsulates the understanding and addressing of potential risks associated with AI systems. These include, but are not limited to, data protection, access control, regulatory compliance, and the ethically complex area of how AI impacts individual privacy. As an aspiring AI Engineer, it is essential to acknowledge these concerns alongside technical skills as they influence the design, implementation, and application of AI technologies. Familiarity with this area helps in designing AI solutions that align with standards of security and privacy while effectively addressing the needs of the user.",
|
||||
"links": []
|
||||
},
|
||||
"Pt-AJmSJrOxKvolb5_HEv": {
|
||||
"title": "Conducting adversarial testing",
|
||||
"description": "Adversarial testing involves creating malicious inputs to test the robustness of AI models. This includes testing for prompt injection, evasion, and other adversarial attacks.",
|
||||
"links": []
|
||||
},
|
||||
"ljZLa3yjQpegiZWwtnn_q": {
|
||||
"title": "OpenAI Moderation API",
|
||||
"description": "OpenAI Moderation API is a feature or service provided by OpenAI that helps in controlling or filtering the output generated by an AI model. It is highly useful in identifying and preventing content that violates OpenAI’s usage policies from being shown. As an AI engineer, learning to work with this API helps implement a layer of security to ensure that the AI models developed are producing content that aligns with the ethical and moral guidelines set in place. Thus, it becomes a fundamental aspect of the AI Engineer Roadmap when dealing with user-generated content or creating AI-based services that interact with people.",
|
||||
"links": []
|
||||
},
|
||||
"4Q5x2VCXedAWISBXUIyin": {
|
||||
"title": "Adding end-user IDs in prompts",
|
||||
"description": "Sending end-user IDs in your requests can be a useful tool to help OpenAI monitor and detect abuse. This allows OpenAI to provide you with more actionable feedback in the event that they may detect any policy violations in applications.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "OpenAI Documentation",
|
||||
"url": "https://platform.openai.com/docs/guides/safety-best-practices/end-user-ids",
|
||||
"type": "article"
|
||||
}
|
||||
]
|
||||
},
|
||||
"qmx6OHqx4_0JXVIv8dASp": {
|
||||
"title": "Robust prompt engineering",
|
||||
"description": "Robust prompt engineering refers to designing, refining, and optimizing the instructions or queries given to an AI model to execute specific tasks. Originally, AI models were trained on a wide range of internet text without any specific commands. However, it can be more effective to provide these models with explicit prompts to guide their responses or actions. Prompt engineering aids in shaping the output of an AI model, significantly improving the accuracy of its responses. This becomes particularly valuable for AI engineers when working on state-of-the-art models like GPT-3, where the output's quality and relevance can be heavily influenced by innovative and well-structured prompts. With robust prompt engineering, AI practitioners can better channel the model's raw capabilities into desired outcomes, marking a crucial skill in an AI Engineer's journey.",
|
||||
"links": []
|
||||
},
|
||||
"t1SObMWkDZ1cKqNNlcd9L": {
|
||||
"title": "Know your Customers / Usecases",
|
||||
"description": "Understanding your target customers and use-cases helps making informed decisions during the development to ensure that the final AI solution appropriately meets the relevant needs of the users. You can use this knowledge to choose the right tools, frameworks, technologies, design the right architecture, and even prevent abuse.",
|
||||
"links": []
|
||||
},
|
||||
"ONLDyczNacGVZGojYyJrU": {
|
||||
"title": "Constraining outputs and inputs",
|
||||
"description": "Constraining outputs and inputs is important for controlling the behavior of AI models. This includes techniques like output filtering, input validation, and rate limiting.",
|
||||
"links": []
|
||||
},
|
||||
"a_3SabylVqzzOyw3tZN5f": {
|
||||
"title": "OpenSource AI",
|
||||
"description": "OpenSource AI refers to artificial intelligence tools, software, libraries and platforms that are freely available to the public, allowing individuals and organizations to use, modify and distribute them as per their requirements. The OpenSource AI initiatives provide an ecosystem for AI developers to innovate, collaborate and mutually learn by sharing their codebase and datasets. Specifically, in the AI engineer's roadmap, OpenSource AI aids in accelerating the AI application development process, provides access to pre-trained models, and promotes the understanding of AI technology through transparency.",
|
||||
"links": []
|
||||
},
|
||||
"RBwGsq9DngUsl8PrrCbqx": {
|
||||
"title": "Open vs Closed Source Models",
|
||||
"description": "Open source models are types of software whose source code is available for the public to view, modify, and distribute. They encourage collaboration and transparency, often resulting in rapid improvements and innovations. Closed source models, on the other hand, do not make their source code available and are typically developed and maintained by specific companies or teams. They often provide more stability, support, and consistency. Within the AI Engineer Roadmap, both open and closed source models play a unique role. While open source models allow for customization, experimentation and a broader understanding of underlying algorithms, closed source models might offer proprietary algorithms and structures that could lead to more efficient or unique solutions. Therefore, understanding the differences, advantages, and drawbacks of both models is essential for an aspiring AI engineer.",
|
||||
"links": []
|
||||
},
|
||||
"97eu-XxYUH9pYbD_KjAtA": {
|
||||
"title": "Popular Open Source Models",
|
||||
"description": "Open-source models consist of pre-made algorithms and mathematical models that are freely available for anyone to use, modify, and distribute. In the realm of Artificial Intelligence, these models often include frameworks for machine learning, deep learning, natural language processing, and other AI methodologies. Thanks to their openly accessible nature, AI engineers often utilize these open-source models during project execution, fostering increased efficiency by reducing the need to create complex models from scratch. They serve as a valuable resource, often speeding up the development phase and promoting collaboration among the global AI community. Popular examples include TensorFlow, PyTorch, and Keras, each offering unique strengths and capabilities for different areas of AI engineering.",
|
||||
"links": []
|
||||
},
|
||||
"v99C5Bml2a6148LCJ9gy9": {
|
||||
"title": "Hugging Face",
|
||||
"description": "Hugging Face is the platform where the machine learning community collaborates on models, datasets, and applications.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Hugging Face",
|
||||
"url": "https://huggingface.co/",
|
||||
"type": "article"
|
||||
}
|
||||
]
|
||||
},
|
||||
"YLOdOvLXa5Fa7_mmuvKEi": {
|
||||
"title": "Hugging Face Hub",
|
||||
"description": "Hugging Face Hub is a platform where you can share, access and collaborate upon a wide array of machine learning models, primarily focused on Natural Language Processing (NLP) tasks. It is a central repository that facilitates storage and sharing of models, reducing the time and overhead usually associated with these tasks. For an AI Engineer, leveraging Hugging Face Hub can accelerate model development and deployment, effectively allowing them to work on structuring efficient AI solutions instead of worrying about model storage and accessibility issues.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Hugging Face",
|
||||
"url": "https://huggingface.co/",
|
||||
"type": "article"
|
||||
}
|
||||
]
|
||||
},
|
||||
"YKIPOiSj_FNtg0h8uaSMq": {
|
||||
"title": "Hugging Face Tasks",
|
||||
"description": "Hugging face has a section where they have a list of tasks with the popular models for that task.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Hugging Face",
|
||||
"url": "https://huggingface.co/tasks",
|
||||
"type": "article"
|
||||
}
|
||||
]
|
||||
},
|
||||
"3kRTzlLNBnXdTsAEXVu_M": {
|
||||
"title": "Inference SDK",
|
||||
"description": "Inference is the process of using a trained model to make predictions on new data. As this process can be compute-intensive, running on a dedicated server can be an interesting option. The huggingface\\_hub library provides an easy way to call a service that runs inference for hosted models. There are several services you can connect to:\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Hugging Face Inference Client",
|
||||
"url": "https://huggingface.co/docs/huggingface_hub/en/package_reference/inference_client",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "Hugging Face Inference API",
|
||||
"url": "https://huggingface.co/docs/api-inference/en/index",
|
||||
"type": "article"
|
||||
}
|
||||
]
|
||||
},
|
||||
"bGLrbpxKgENe2xS1eQtdh": {
|
||||
"title": "Transformers.js",
|
||||
"description": "Transformers.js is a JavaScript library providing the ability to use machine learning transformers in applications. It is based on the concept of attention mechanism - \"transformers\" in artificial intelligence, which allows the model to focus on different words in a sentence during translation or text generation tasks. The benefits of using such transformers are their capacity to handle long sequences of data and their parallelization abilities which offer faster computational time. In the AI Engineer's learning pathway, understanding and working with transformers can be pivotal as they form a fundamental part of natural language processing tasks, often used within AI solutions. With JavaScript being a language of choice for many web applications, having an understanding of Transformers.js provides an AI engineer with the knowledge necessary to integrate powerful language models directly within web-applications.",
|
||||
"links": []
|
||||
},
|
||||
"rTT2UnvqFO3GH6ThPLEjO": {
|
||||
"title": "Ollama",
|
||||
"description": "Ollama is an open-source tool for running large language models (LLMs) locally on personal computers. It supports various models like Llama 2, Mistral, and Code Llama, bundling weights, configurations, and data into a single package. Ollama offers a user-friendly interface, API access, and integration capabilities, allowing users to leverage AI capabilities while maintaining data privacy and control. It's designed for easy installation and use on macOS and Linux, with Windows support in development.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Ollama",
|
||||
"url": "https://ollama.com",
|
||||
"type": "article"
|
||||
}
|
||||
]
|
||||
},
|
||||
"ro3vY_sp6xMQ-hfzO-rc1": {
|
||||
"title": "Ollama Models",
|
||||
"description": "Ollama supports a wide range of language models, including but not limited to Llama, Phi, Mistral, Gemma and more.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Ollama Models",
|
||||
"url": "https://ollama.com/library",
|
||||
"type": "article"
|
||||
}
|
||||
]
|
||||
},
|
||||
"TsG_I7FL-cOCSw8gvZH3r": {
|
||||
"title": "Ollama SDK",
|
||||
"description": "Ollama SDK can be used to develop applications locally.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Ollama SDK",
|
||||
"url": "https://ollama.com",
|
||||
"type": "article"
|
||||
}
|
||||
]
|
||||
},
|
||||
"--ig0Ume_BnXb9K2U7HJN": {
|
||||
"title": "What are Embeddings",
|
||||
"description": "Embeddings are a way of representing complex and high-dimensional data in a low-dimensional space, typically a vector. For example, words in a language can be represented as multi-dimensional vectors through word embedding techniques, such as Word2Vec or GloVe. These representations capture semantic relationships among words that machines can understand and process. In the roadmap of becoming an AI Engineer, handling and understanding embeddings is vital because they are essential to natural language processing, recommendation systems and any AI component that deals with complex data in a compact, meaningful manner.",
|
||||
"links": []
|
||||
},
|
||||
"eMfcyBxnMY_l_5-8eg6sD": {
|
||||
"title": "Semantic Search",
|
||||
"description": "Semantic Search is an information retrieval approach which leverages not just the keywords in a search query, but also the intent and contextual meaning behind them to produce highly relevant results. In other words, it makes search engines more intelligent and precise, understanding user intent and making connections like a human brain would. It's an important technique that an AI Engineer might utilize, especially when dealing with large amounts of data or if they're involved in creating intelligent search systems. From natural language processing to relationship mapping, semantic search plays a key role in advancing artificial intelligence search capabilities.",
|
||||
"links": []
|
||||
},
|
||||
"HQe9GKy3p0kTUPxojIfSF": {
|
||||
"title": "Recommendation Systems",
|
||||
"description": "Recommendation systems are a subclass of information filtering systems that are meant to predict the preferences or ratings that a user would give to a particular item. Broadly speaking, these systems are primarily used in applications where a user receives suggestions for the products or services they might be interested in, such as Netflix's movie recommendations or Amazon's product suggestions. In terms of an AI Engineer Roadmap, building recommendation systems is a fundamental skill, as these systems typically utilize concepts of machine learning and data mining, and their purpose primarily revolves around making predictions based on large volumes of data. These skills make an integral part of AI-related fields like natural language processing, robotics, and deep learning.",
|
||||
"links": []
|
||||
},
|
||||
"AglWJ7gb9rTT2rMkstxtk": {
|
||||
"title": "Anomaly Detection",
|
||||
"description": "Embeddings transform complex data (like text or behavior) into numerical vectors, capturing relationships between data points. These vectors are stored in a vector database, which allows for efficient similarity searches. Anomalies can be detected by measuring the distance between a data point's vector and its nearest neighbors—if a point is significantly distant, it's likely anomalous. This approach is scalable, adaptable to various data types, and effective for tasks like fraud detection, predictive maintenance, and cybersecurity.",
|
||||
"links": []
|
||||
},
|
||||
"06Xta-OqSci05nV2QMFdF": {
|
||||
"title": "Data Classification",
|
||||
"description": "Embeddings are used in data classification by converting data (like text or images) into numerical vectors that capture underlying patterns and relationships. These vector representations make it easier for machine learning models to distinguish between different classes based on the similarity or distance between vectors in high-dimensional space. By training a classifier on these embeddings, tasks like sentiment analysis, document categorization, and image classification can be performed more accurately and efficiently. Embeddings simplify complex data and enhance classification by highlighting key features relevant to each class.",
|
||||
"links": []
|
||||
},
|
||||
"l6priWeJhbdUD5tJ7uHyG": {
|
||||
"title": "Open AI Embeddings API",
|
||||
"description": "Open AI Embeddings API is a powerful system that is used to generate high-quality word and sentence embeddings. With this API, it becomes a breeze to convert textual data into a numerical format that Machine Learning models can process. This conversion of text into numerical data is crucial for Natural Language Processing (NLP) tasks that an AI Engineer often encounters. Understanding and harnessing the capabilities of the Open AI Embeddings API, therefore, forms an essential part of the AI Engineer's roadmap.",
|
||||
"links": []
|
||||
},
|
||||
"y0qD5Kb4Pf-ymIwW-tvhX": {
|
||||
"title": "Open AI Embedding Models",
|
||||
"description": "Open AI embedding models refer to the artificial intelligence variants designed to reformat or transcribe input data into compact, dense numerical vectors. These models simplify and reduce the input data from its original complex nature, creating a digital representation that is easier to manipulate. This data reduction technique is critical in the AI Engineer Roadmap because it paves the way for natural language processing tasks. It helps in making precise predictions, clustering similar data, and producing accurate search results based on contextual relevance.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Open AI Embedding Models",
|
||||
"url": "https://platform.openai.com/docs/guides/embeddings",
|
||||
"type": "article"
|
||||
}
|
||||
]
|
||||
},
|
||||
"4GArjDYipit4SLqKZAWDf": {
|
||||
"title": "Pricing Considerations",
|
||||
"description": "OpenAI Embeddings API allows users to compute and extract textual embeddings from large-scale models that OpenAI trains. The pricing for this API can vary based on multiple factors like the number of requests, number of tokens in the text, total computation time, throughput, and others. Understanding the pricing model for the OpenAI Embeddings API is vital for AI Engineers to effectively manage costs while using the API. They should be aware of any limitations or additional costs associated with high volume requests, speed of processing, or special features they plan to use. This knowledge helps the engineers to optimize costs, which is important for the budgeting of AI projects and the overall roadmap of an AI Engineer.",
|
||||
"links": []
|
||||
},
|
||||
"apVYIV4EyejPft25oAvdI": {
|
||||
"title": "Open-Source Embeddings",
|
||||
"description": "Open-source embeddings, such as Word2Vec, GloVe, and FastText, are essentially vector representations of words or phrases. These representations capture the semantic relationships between words and their surrounding context in a multi-dimensional space, making it easier for machine learning models to understand and process textual data. In the AI Engineer Roadmap, gaining knowledge of open-source embeddings is critical. These embeddings serve as a foundation for natural language processing tasks, ranging from sentiment analysis to chatbot development, and are widely used in the AI field for their ability to enhance the performance of machine learning models dealing with text data.",
|
||||
"links": []
|
||||
},
|
||||
"ZV_V6sqOnRodgaw4mzokC": {
|
||||
"title": "Sentence Transformers",
|
||||
"description": "Sentence Transformers refer to a variant of the popular Transformers model that is specifically designed and optimized for creating meaningful and effective sentence embeddings. It enables developers to easily convert paragraphs and sentences into dense vector representations that can be compared for semantic similarity. In the AI engineer's journey, getting familiar with Sentence Transformers is important because it allows the modelling of natural language in AI systems to provide richer, more nuanced interactions. This can be especially valuable in designing and implementing AI applications such as chatbots, sentiment analysis tools, and more.",
|
||||
"links": []
|
||||
},
|
||||
"dLEg4IA3F5jgc44Bst9if": {
|
||||
"title": "Models on Hugging Face",
|
||||
"description": "Hugging Face has a wide range of pre-trained models that can be used for a variety of tasks, including language understanding and generation, translation, chatbots, and more. Anyone can create an account and use their models, and the models are organized by task, provider, and other criteria.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Hugging Face",
|
||||
"url": "https://huggingface.co/models",
|
||||
"type": "article"
|
||||
}
|
||||
]
|
||||
},
|
||||
"tt9u3oFlsjEMfPyojuqpc": {
|
||||
"title": "Vector Databases",
|
||||
"description": "Vector databases are a type of database system specifically designed to handle vector space model data, typically used for high-dimensional data sets. With the explosion of data in AI applications, these databases have become an integral part of the infrastructure, providing an efficient and scalable way to manage and query large volumes of vector data. For AI engineers, understanding how to use and optimize vector databases can significantly improve the performance of AI models which use vector-based data, such as natural language processing (NLP) and image recognition models. Proficiency in vector databases is hence a crucial skill in the AI Engineer Roadmap.",
|
||||
"links": []
|
||||
},
|
||||
"WcjX6p-V-Rdd77EL8Ega9": {
|
||||
"title": "Purpose and Functionality",
|
||||
"description": "The Purpose and Functionality are fundamental concepts in the AI Engineer Roadmap. To put simply, 'Purpose' refers to the intended goal or desired result that an AI engineer wants to achieve in an AI project. These goals can range from building neural networks to creating self-driving cars. 'Functionality', on the other hand, pertains to the behaviors and actions that an AI program can perform to fulfill its purpose. This could involve machine learning algorithms, language processing techniques, or data analysis methods among others. Understanding the purpose and functionality of an AI project allows an AI engineer to strategically plan, develop, and manage AI systems effectively.",
|
||||
"links": []
|
||||
},
|
||||
"dSd2C9lNl-ymmCRT9_ZC3": {
|
||||
"title": "Chroma",
|
||||
"description": "Chroma is a vector database designed to efficiently store, index, and query high-dimensional embeddings. It’s optimized for AI applications like semantic search, recommendation systems, and anomaly detection by allowing fast retrieval of similar vectors based on distance metrics (e.g., cosine similarity). Chroma enables scalable and real-time processing, making it a popular choice for projects involving embeddings from text, images, or other data types.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Chroma Website",
|
||||
"url": "https://docs.trychroma.com/",
|
||||
"type": "article"
|
||||
}
|
||||
]
|
||||
},
|
||||
"_Cf7S1DCvX7p1_3-tP3C3": {
|
||||
"title": "Pinecone",
|
||||
"description": "Pinecone is a vector database designed specifically for machine learning applications. It facilitates the process of transforming data into a vector and indexing it for quick retrieval. As a cloud-based service, it allows AI Engineers to easily handle high-dimensional data and utilize it for building models. As part of an AI Engineer's Roadmap, understanding and using vector databases like Pinecone can help streamline the development and deployment of AI and ML applications. This is particularly useful in building recommendation systems, personalized search and similarity search which are important components of an AI-based service.",
|
||||
"links": []
|
||||
},
|
||||
"VgUnrZGKVjAAO4n_llq5-": {
|
||||
"title": "Weaviate",
|
||||
"description": "Weaviate is an open-source, GraphQL and RESTful API-based, knowledge graph that allows you to store, search, and retrieve data. One of its core features is machine learning algorithms that enhance information handling. For an AI Engineer, mastering Weaviate becomes relevant as it bridges the gap between unstructured data and structured data, which is a common challenge when working with AI and machine learning models. By understanding this, an AI engineer can leverage these abilities to manipulate structured data more effectively, optimize data searchability, and improve the efficiency of data-dependent processes in AI projects.",
|
||||
"links": []
|
||||
},
|
||||
"JurLbOO1Z8r6C3yUqRNwf": {
|
||||
"title": "FAISS",
|
||||
"description": "FAISS stands for Facebook AI Similarity Search, it is a database management library developed by Facebook's AI team. Primarily used for efficient similarity search and clustering of dense vectors, it allows users to search through billions of feature vectors swiftly and efficiently. As an AI engineer, learning FAISS is beneficial because these vectors represent objects that are typically used in machine learning or AI applications. For instance, in an image recognition task, a dense vector might be a list of pixels from an image, and FAISS allows a quick search of similar images in a large database.",
|
||||
"links": []
|
||||
},
|
||||
"rjaCNT3Li45kwu2gXckke": {
|
||||
"title": "LanceDB",
|
||||
"description": "LanceDB is a relatively new, multithreaded, high-speed data warehouse optimized for AI and machine learning data processing. It's designed to handle massive amounts of data, enables quick storage and retrieval, and supports lossless data compression. For an AI engineer, learning LanceDB could be beneficial as it can be integrated with machine learning frameworks for collecting, processing and analyzing large datasets. These functionalities can help to streamline the process for AI model training, which requires extensive data testing and validation.",
|
||||
"links": []
|
||||
},
|
||||
"DwOAL5mOBgBiw-EQpAzQl": {
|
||||
"title": "Qdrant",
|
||||
"description": "Qdrant is a high-performance vector similarity search engine with extensive restful API and distributed support, written in Rust. It allows efficiently storing, handling, and retrieving large amounts of vector data. Integrating Qdrant as a part of the AI Engineer's toolkit can drastically improve functionality and efficiency for AI Engineers, as they often work with vectors during data preprocessing, feature extraction, and modeling. Qdrant's flexibility and control over data indexing and query processing make it particularly handy when dealing with large datasets prevalent in AI projects.",
|
||||
"links": []
|
||||
},
|
||||
"9kT7EEQsbeD2WDdN9ADx7": {
|
||||
"title": "Supabase",
|
||||
"description": "Supabase is an open-source Firebase alternative that offers a suite of tools for database management, realtime subscriptions, and automating tasks. As an AI Engineer, you'll often have to manage and work with data to develop and test AI models. With Supabase, you can build databases more efficiently and interact with your data in real-time. It also supports user authentication and provides serverless functions which can be crucial in AI development workflows.",
|
||||
"links": []
|
||||
},
|
||||
"j6bkm0VUgLkHdMDDJFiMC": {
|
||||
"title": "MongoDB Atlas",
|
||||
"description": "MongoDB Atlas is a fully managed cloud-based NoSQL database service by MongoDB. It simplifies database deployment and management across platforms like AWS, Azure, and Google Cloud. Using a flexible document model, Atlas automates tasks such as scaling, backups, and security, allowing developers to focus on building applications. With features like real-time analytics and global clusters, it offers a powerful solution for scalable and resilient app development.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "MongoDB Atlas Vector Search",
|
||||
"url": "https://www.mongodb.com/products/platform/atlas-vector-search",
|
||||
"type": "article"
|
||||
}
|
||||
]
|
||||
},
|
||||
"5TQnO9B4_LTHwqjI7iHB1": {
|
||||
"title": "Indexing Embeddings",
|
||||
"description": "This step involves converting data (such as text, images, or other content) into numerical vectors (embeddings) using a pre-trained model. These embeddings capture the semantic relationships between data points. Once generated, the embeddings are stored in a vector database, which organizes them in a way that enables efficient retrieval based on similarity. This indexed structure allows fast querying and comparison of vectors, facilitating tasks like semantic search, recommendation systems, and anomaly detection.",
|
||||
"links": []
|
||||
},
|
||||
"ZcbRPtgaptqKqWBgRrEBU": {
|
||||
"title": "Performing Similarity Search",
|
||||
"description": "This step involves querying the vector database to find the most similar embeddings to a given input vector. When a query is made, the system computes the distance between the input vector and stored embeddings using metrics like cosine similarity or Euclidean distance. The closest matches—those with the smallest distances—are retrieved as results, allowing for accurate semantic search, recommendations, or content retrieval based on similarity in the embedded space. This process enables highly efficient and relevant searches across large datasets.",
|
||||
"links": []
|
||||
},
|
||||
"lVhWhZGR558O-ljHobxIi": {
|
||||
"title": "RAG & Implementation",
|
||||
"description": "RAG (Relation and Graph) is a mechanism used in artificial intelligence that represents the structured relationships existing between different data entities. Programming languages such as Python provide libraries for RAG implementation, making it simpler for AI engineers. In the AI Engineer roadmap, understanding and implementing RAG models can prove beneficial especially while working with AI algorithms that extensively deal with relational and structured data, such as graph-based Deep Learning algorithms, or while creating knowledge graphs in contexts like Natural Language Processing (NLP). Implementing RAG efficiently can lead to more accurate, efficient, and interpretable AI models.",
|
||||
"links": []
|
||||
},
|
||||
"GCn4LGNEtPI0NWYAZCRE-": {
|
||||
"title": "RAG Usecases",
|
||||
"description": "Retrieval-Augmented Generation (RAG) is a type of sequence-to-sequence model with documents retrievers in their architecture. This method integrates the power of pre-trained language models and extractive question answering methods to answer any queries with high precision. In the AI Engineer Roadmap, this tool has practical applications, such as enabling machines to provide detailed responses based on large-scale databases instead of generating responses only from a fixed context. This feature is highly beneficial in developing advanced AI systems with extensive knowledge recall capabilities. RAG's use-cases cover areas like customer service chatbots, automated legal assistance, healthcare advice systems, and other areas where comprehensive information retrieval is crucial.",
|
||||
"links": []
|
||||
},
|
||||
"qlBEXrbV88e_wAGRwO9hW": {
|
||||
"title": "RAG vs Fine-tuning",
|
||||
"description": "RAG (Retrieval-Augmented Generation) and Fine-tuning are two distinct techniques utilized in Natural Language Processing (NLP). RAG introduces an approach where the model retrieves documents and faqs from a database to enhance the content generation process. It enables more factual accuracy and relevant context in the outputs. On the other hand, Fine-tuning involves modifying a pre-trained Neural Network model on a new or different task. Adjustments are made to the model's parameters to enhance performance on the new task. Typically, an AI engineer might use RAG for tasks requiring contextual understanding and factual accuracy, while implementing fine-tuning techniques to leverage existing pre-trained models for optimizing new tasks and projects.",
|
||||
"links": []
|
||||
},
|
||||
"mX987wiZF7p3V_gExrPeX": {
|
||||
"title": "Chunking",
|
||||
"description": "In Retrieval-Augmented Generation (RAG), **chunking** refers to breaking large documents or data into smaller, manageable pieces (chunks) to improve retrieval and generation efficiency. This process helps the system retrieve relevant information more accurately by indexing these chunks in a vector database. During a query, the model retrieves relevant chunks instead of entire documents, which enhances the precision of the generated responses and allows better handling of long-form content within the context length limits.",
|
||||
"links": []
|
||||
},
|
||||
"grTcbzT7jKk_sIUwOTZTD": {
|
||||
"title": "Embedding",
|
||||
"description": "Embedding refers to the conversion or mapping of discrete objects such as words, phrases, or even entire sentences into vectors of real numbers. It's an essential part of data preprocessing where high-dimensional data is transformed into a lower-dimensional equivalent. This dimensional reduction helps to preserve the semantic relationships between objects. In AI engineering, embedding techniques are often used in language-orientated tasks like sentiment analysis, text classification, and Natural Language Processing (NLP) to provide an understanding of the vast linguistic inputs AI models receive.",
|
||||
"links": []
|
||||
},
|
||||
"zZA1FBhf1y4kCoUZ-hM4H": {
|
||||
"title": "Vector Database",
|
||||
"description": "A Vector Database is a tool that specializes in storing and efficiently retrieving vector representations (or embeddings). These vectors often represent embeddings of items or entities in high-dimensional space. This indexation process enables search and clustering algorithms. In this step of implementing RAG, we use a Vector Database to store the embeddings of the documents.",
|
||||
"links": []
|
||||
},
|
||||
"OCGCzHQM2LQyUWmiqe6E0": {
|
||||
"title": "Retrieval Process",
|
||||
"description": "In this step of implementing RAG, we clean up the user's query by removing any extra information, we then generate an embedding for the query and look for the most similar embeddings in the vector database.",
|
||||
"links": []
|
||||
},
|
||||
"2jJnS9vRYhaS69d6OxrMh": {
|
||||
"title": "Generation",
|
||||
"description": "In this step of implementing RAG, we use the found chunks to generate a response to the user's query using an LLM.",
|
||||
"links": []
|
||||
},
|
||||
"WZVW8FQu6LyspSKm1C_sl": {
|
||||
"title": "Using SDKs Directly",
|
||||
"description": "Software Development Kits, often referred to as SDKs, are a collection of development tools bundled together. These tools assist in creating innovative applications for specific software frameworks or hardware platforms. In the AI Engineer Roadmap, using SDKs directly implies that AI engineers leverage these kits to interact directly with AI-related services or platforms. This approach provides a lower level control, allowing engineers to customize applications according to their unique requirements. Therefore, acquiring skill in using SDKs directly forms an instrumental part of the AI Engineer Roadmap, enabling practitioners to build and enhance AI applications effectively and efficiently.",
|
||||
"links": []
|
||||
},
|
||||
"ebXXEhNRROjbbof-Gym4p": {
|
||||
"title": "Langchain",
|
||||
"description": "LangChain is a software framework that helps facilitate the integration of large language models into applications. As a language model integration framework, LangChain's use-cases largely overlap with those of language models in general, including document analysis and summarization, chatbots, and code analysis.",
|
||||
"links": []
|
||||
},
|
||||
"d0ontCII8KI8wfP-8Y45R": {
|
||||
"title": "Llama Index",
|
||||
"description": "LlamaIndex is a simple, flexible data framework for connecting custom data sources to large language models.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "LlamaIndex Official Website",
|
||||
"url": "https://llamaindex.ai/",
|
||||
"type": "article"
|
||||
}
|
||||
]
|
||||
},
|
||||
"eOqCBgBTKM8CmY3nsWjre": {
|
||||
"title": "Open AI Assistant API",
|
||||
"description": "OpenAI Assistant API is a tool provided by OpenAI that allows developers to integrate the same AI used in ChatGPT into their own applications, products or services. This AI conducts dynamic, interactive and context-aware conversations useful for building AI assistants in various applications. In the AI Engineer Roadmap, mastering the use of APIs like the Open AI Assistant API is a crucial skill, as it allows engineers to harness the power and versatility of pre-trained algorithms and use them for their desired tasks. AI Engineers can offload the intricacies of model training and maintenance, focusing more on product development and innovation.",
|
||||
"links": []
|
||||
},
|
||||
"c0RPhpD00VIUgF4HJgN2T": {
|
||||
"title": "Replicate",
|
||||
"description": "Replicate is a version-control tool specifically designed for machine learning. It enables effective tracking of experiments, facilitating the comparison of different models and parameters. As an AI Engineer, knowing how to use Replicate provides you with the ability to save versions of data and model files, thereby preventing loss of work and confusion. It also contributes to smoother teamwork and collaborations by allowing effective sharing and reproduction of experiments, which is crucial in an AI project life cycle.",
|
||||
"links": []
|
||||
},
|
||||
"AeHkNU-uJ_gBdo5-xdpEu": {
|
||||
"title": "AI Agents",
|
||||
"description": "AI Agents are a type of LLM that can be used to automate complex workflows that involve multiple steps and decisions.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "What are AI Agents?",
|
||||
"url": "https://aws.amazon.com/what-is/ai-agents/",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "What are AI Agents?",
|
||||
"url": "https://www.youtube.com/watch?v=F8NKVhkZZWI",
|
||||
"type": "video"
|
||||
}
|
||||
]
|
||||
},
|
||||
"778HsQzTuJ_3c9OSn5DmH": {
|
||||
"title": "Agents Usecases",
|
||||
"description": "AI Agents allow you to automate complex workflows that involve multiple steps and decisions.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "What are AI Agents?",
|
||||
"url": "https://aws.amazon.com/what-is/ai-agents/",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "What are AI Agents?",
|
||||
"url": "https://www.youtube.com/watch?v=F8NKVhkZZWI",
|
||||
"type": "video"
|
||||
}
|
||||
]
|
||||
},
|
||||
"voDKcKvXtyLzeZdx2g3Qn": {
|
||||
"title": "ReAct Prompting",
|
||||
"description": "ReAct prompting is a tactical approach employed in Conversational AI to generate textual responses. It is essentially utilized in scenarios where a chatbot or an AI-generated persona is required to carry on a conversation. This strategy adds a layer of intelligence to the conversation, maneuvering the AI to generate responses that are contextually sensitive and relevant. In an AI Engineer's Roadmap, an understanding of React Prompting becomes significant during the design of AI interaction models. Using this technique, AI Engineers are capable of creating more intuitive, engaging, and user-friendly conversational AI agents.",
|
||||
"links": []
|
||||
},
|
||||
"6xaRB34_g0HGt-y1dGYXR": {
|
||||
"title": "Manual Implementation",
|
||||
"description": "You can build the AI agents manually by coding the logic from scratch without using any frameworks or libraries. For example, you can use the OpenAI API and write the looping logic yourself to keep the agent running until it has the answer.",
|
||||
"links": []
|
||||
},
|
||||
"Sm0Ne5Nx72hcZCdAcC0C2": {
|
||||
"title": "OpenAI Functions / Tools",
|
||||
"description": "OpenAI, a leading organization in the field of artificial intelligence, provides a suite of functions and tools to enable developers and AI engineers to design, test, and deploy AI models. These tools include robust APIs for tasks like natural language processing, vision, and reinforcement learning, and platforms like GPT-3, CLIP, and Codex that provide pre-trained models. Utilization of these OpenAI components allows AI engineers to get a head-start in application development, simplifying the process of integration and reducing the time required for model training and tuning. Understanding and being adept at these tools forms a crucial part of the AI Engineer's roadmap to build impactful AI-driven applications.",
|
||||
"links": []
|
||||
},
|
||||
"mbp2NoL-VZ5hZIIblNBXt": {
|
||||
"title": "OpenAI Assistant API",
|
||||
"description": "OpenAI Assistant API is a tool developed by OpenAI which allows developers to establish interaction between their applications, products or services and state-of-the-art AI models. By integrating this API in their software architecture, artificial intelligence engineers can leverage the power of advanced language models developed by the OpenAI community. These integrated models can accomplish a multitude of tasks, like writing emails, generating code, answering questions, tutoring in different subjects and even creating conversational agents. For an AI engineer, mastery over such APIs means they can deploy and control highly sophisticated AI models with just a few lines of code.",
|
||||
"links": []
|
||||
},
|
||||
"W7cKPt_UxcUgwp8J6hS4p": {
|
||||
"title": "Multimodal AI",
|
||||
"description": "Multimodal AI refers to artificial intelligence systems capable of processing and integrating multiple types of data inputs simultaneously, such as text, images, audio, and video. Unlike traditional AI models that focus on a single data type, multimodal AI combines various inputs to achieve a more comprehensive understanding and generate more robust outputs. This approach mimics human cognition, which naturally integrates information from multiple senses to form a complete perception of the world. By leveraging diverse data sources, multimodal AI can perform complex tasks like image captioning, visual question answering, and cross-modal content generation.",
|
||||
"links": []
|
||||
},
|
||||
"sGR9qcro68KrzM8qWxcH8": {
|
||||
"title": "Multimodal AI Usecases",
|
||||
"description": "Multimodal AI integrates various data types for diverse applications. In human-computer interaction, it enhances interfaces using speech, gestures, and facial expressions. In healthcare, it combines medical scans and records for accurate diagnoses. For autonomous vehicles, it processes data from sensors for real-time navigation. Additionally, it generates images from text and summarizes videos in content creation, while also analyzing satellite and sensor data for climate insights.",
|
||||
"links": []
|
||||
},
|
||||
"fzVq4hGoa2gdbIzoyY1Zp": {
|
||||
"title": "Image Understanding",
|
||||
"description": "Image Understanding involves extracting meaningful information from images, such as photos or videos. This process includes tasks like image recognition, where an AI system is trained to recognize certain objects within an image, and image segmentation, where an image is divided into multiple regions according to some criteria. For an AI engineer, mastering techniques in Image Understanding is crucial because it forms the basis for more complex tasks such as object detection, facial recognition, or even whole scene understanding, all of which play significant roles in various AI applications. As AI technologies continue evolving, the ability to analyze and interpret visual data becomes increasingly important in fields ranging from healthcare to autonomous vehicles.",
|
||||
"links": []
|
||||
},
|
||||
"49BWxYVFpIgZCCqsikH7l": {
|
||||
"title": "Image Generation",
|
||||
"description": "Image Generation often refers to the process of creating new images from an existing dataset or completely from scratch. For an AI Engineer, understanding image generation is crucial as it is one of the key aspects of machine learning and deep learning related to computer vision. It often involves techniques like convolutional neural networks (CNN), generative adversarial networks (GANs), and autoencoders. These technologies are used to generate artificial images that closely resemble original input, and can be applied in various fields such as healthcare, entertainment, security and more.",
|
||||
"links": []
|
||||
},
|
||||
"TxaZCtTCTUfwCxAJ2pmND": {
|
||||
"title": "Video Understanding",
|
||||
"description": "Video Understanding is the process of analyzing videos to comprehend its content and context. Leveraging Machine Learning and AI technologies, this branch is responsible for extracting valuable information from video data. In the AI Engineer's Roadmap, video understanding comes into play when building AI models that can interpret video inputs. These engines need to recognize patterns and actions within the video, can track object's movements, and may also infer the future actions from the video stream. Training an AI model in video understanding requires knowledge of convolutional neural networks (CNN), recurring neural networks (RNN), and preferably some experience with Long Short-Term Memory (LSTM) networks.",
|
||||
"links": []
|
||||
},
|
||||
"mxQYB820447DC6kogyZIL": {
|
||||
"title": "Audio Processing",
|
||||
"description": "Using Multimodal AI, audio data can be processed with other types of data, such as text, images, or video, to enhance understanding and analysis. For example, it can synchronize audio with corresponding visual inputs, like lip movements in video, to improve speech recognition or emotion detection. This fusion of modalities enables more accurate transcription, better sentiment analysis, and enriched context understanding in applications such as virtual assistants, multimedia content analysis, and real-time communication systems.",
|
||||
"links": []
|
||||
},
|
||||
"GCERpLz5BcRtWPpv-asUz": {
|
||||
"title": "Text-to-Speech",
|
||||
"description": "Text-to-Speech (TTS) is a type of assistive technology that reads digital text out loud. It is a technology widely used in various programming fields, including AI Engineering. Traditionally, TTS has been employed in accessibility applications, but with the advent of AI, it's now being used to develop voice assistants, audio book narrators, and many more intelligent applications. For AI engineers, knowledge of TTS techniques opens up new possibilities for user interaction and can form an essential part of any AI application which interacts with its users primarily through spoken language.",
|
||||
"links": []
|
||||
},
|
||||
"jQX10XKd_QM5wdQweEkVJ": {
|
||||
"title": "Speech-to-Text",
|
||||
"description": "Speech-to-Text is a type of technology that converts spoken language into written text. This technology is often incorporated in virtual assistants, transcription services and many other applications where transforming voice into text can facilitate better user interaction or communication. For an AI engineer, this falls under the wider ambit of Natural Language Processing (NLP), making it an important skill to understand and comprehend. The ability to design and implement speech-to-text models can allow AI engineers to create more interactive and adaptive machine learning systems, improve accessibility, and expand the scope of potential AI applications.",
|
||||
"links": []
|
||||
},
|
||||
"CRrqa-dBw1LlOwVbrZhjK": {
|
||||
"title": "OpenAI Vision API",
|
||||
"description": "OpenAI Vision API is an API provided by OpenAI that is designed to analyze and generate insights from images. By feeding it an image, the Vision API can provide information about the objects and activities present in the image. For AI Engineers, this tool can be particularly useful for conducting Computer Vision tasks effortlessly. Using this API can support in creating applications that need image recognition, object detection and similar functionality, saving AI Engineers from having to create complex image processing algorithms from scratch. Understanding how to work with APIs, especially ones as advanced as the OpenAI Vision API, is an essential skill in the AI Engineer's roadmap.",
|
||||
"links": []
|
||||
},
|
||||
"LKFwwjtcawJ4Z12X102Cb": {
|
||||
"title": "DALL-E API",
|
||||
"description": "The DALL-E API allows developers to integrate OpenAI's image generation model into their applications. Using text-based prompts, the API generates unique images that match the descriptions provided by users. This makes it useful for tasks like creative design, marketing, product prototyping, and content creation. The API is highly customizable, enabling developers to adjust parameters such as image size and style. DALL-E excels at creating visually rich content from textual descriptions, expanding the possibilities for AI-driven creative workflows.",
|
||||
"links": []
|
||||
},
|
||||
"OTBd6cPUayKaAM-fLWdSt": {
|
||||
"title": "Whisper API",
|
||||
"description": "Whisper API is an interface primarily used for interacting with OpenAI's Whisper ASR system. It's a system designed to convert spoken language into written text, a technique that is commonly known as Automatic Speech Recognition (ASR). As an AI engineer, understanding and using Whisper API in the roadmap is key as it fuses with several other machine learning principles to improve an application's ability to understand and transcribe spoken language, which is becoming increasingly significant in domains like virtual assistants, transcription services, voice biometrics and more.",
|
||||
"links": []
|
||||
},
|
||||
"EIDbwbdolR_qsNKVDla6V": {
|
||||
"title": "Hugging Face Models",
|
||||
"description": "Hugging Face has a wide range of pre-trained models that can be used for a variety of tasks, including language understanding and generation, translation, chatbots, and more. Anyone can create an account and use their models, and the models are organized by task, provider, and other criteria.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Hugging Face",
|
||||
"url": "https://huggingface.co/models",
|
||||
"type": "article"
|
||||
}
|
||||
]
|
||||
},
|
||||
"j9zD3pHysB1CBhLfLjhpD": {
|
||||
"title": "LangChain for Multimodal Apps",
|
||||
"description": "LangChain is a software framework that helps facilitate the integration of large language models into applications. As a language model integration framework, LangChain's use-cases largely overlap with those of language models in general, including document analysis and summarization, chatbots, and code analysis.",
|
||||
"links": []
|
||||
},
|
||||
"akQTCKuPRRelj2GORqvsh": {
|
||||
"title": "LlamaIndex for Multimodal Apps",
|
||||
"description": "LlamaIndex is a simple, flexible data framework for connecting custom data sources to large language models.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "LlamaIndex Official Website",
|
||||
"url": "https://llamaindex.ai/",
|
||||
"type": "article"
|
||||
}
|
||||
]
|
||||
},
|
||||
"NYge7PNtfI-y6QWefXJ4d": {
|
||||
"title": "Development Tools",
|
||||
"description": "A lot of developer related tools have popped up since the AI revolution. It's being used in the coding editors, in the terminal, in the CI/CD pipelines, and more.",
|
||||
"links": []
|
||||
},
|
||||
"XcKeQfpTA5ITgdX51I4y-": {
|
||||
"title": "AI Code Editors",
|
||||
"description": "AI code editors have the first-class support for AI in the editor. You can use AI to generate code, fix bugs, chat with your code, and more.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Cursor",
|
||||
"url": "https://cursor.com/",
|
||||
"type": "website"
|
||||
},
|
||||
{
|
||||
"title": "Zed AI",
|
||||
"url": "https://zed.dev/ai",
|
||||
"type": "website"
|
||||
}
|
||||
]
|
||||
},
|
||||
"TifVhqFm1zXNssA8QR3SM": {
|
||||
"title": "Code Completion Tools",
|
||||
"description": "AI Code Completion Tools are software tools that use AI models to assist with code generation and editing. These tools help developers write code more quickly and efficiently by providing suggestions, completing code snippets, and suggesting improvements. AI Code Completion Tools can also be used to generate documentation, comments, and other code-related content.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "GitHub Copilot",
|
||||
"url": "https://copilot.github.com/",
|
||||
"type": "website"
|
||||
},
|
||||
{
|
||||
"title": "Codeium",
|
||||
"url": "https://codeium.com/",
|
||||
"type": "website"
|
||||
},
|
||||
{
|
||||
"title": "Supermaven",
|
||||
"url": "https://supermaven.com/",
|
||||
"type": "website"
|
||||
},
|
||||
{
|
||||
"title": "TabNine",
|
||||
"url": "https://www.tabnine.com/",
|
||||
"type": "website"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
@@ -1,13 +1,30 @@
|
||||
{
|
||||
"gKTSe9yQFVbPVlLzWB0hC": {
|
||||
"title": "Search Engines",
|
||||
"description": "Search engines like Elasticsearch are specialized tools designed for fast, scalable, and flexible searching and analyzing of large volumes of data. Elasticsearch is an open-source, distributed search and analytics engine built on Apache Lucene, offering full-text search capabilities, real-time indexing, and advanced querying features. Key characteristics of search engines like Elasticsearch include:\n\n1. **Full-Text Search**: Support for complex search queries, including relevance scoring and text analysis.\n2. **Distributed Architecture**: Scalability through horizontal distribution across multiple nodes or servers.\n3. **Real-Time Indexing**: Ability to index and search data almost instantaneously.\n4. **Powerful Query DSL**: A domain-specific language for constructing and executing sophisticated queries.\n5. **Analytics**: Capabilities for aggregating and analyzing data, often used for log and event data analysis.\n\nElasticsearch is commonly used in applications requiring advanced search functionality, such as search engines, data analytics platforms, and real-time monitoring systems.",
|
||||
"links": []
|
||||
"description": "Search engines like Elasticsearch are specialized tools designed for fast, scalable, and flexible searching and analyzing of large volumes of data. Elasticsearch is an open-source, distributed search and analytics engine built on Apache Lucene, offering full-text search capabilities, real-time indexing, and advanced querying features. Key characteristics of search engines like Elasticsearch include:\n\n1. **Full-Text Search**: Support for complex search queries, including relevance scoring and text analysis.\n2. **Distributed Architecture**: Scalability through horizontal distribution across multiple nodes or servers.\n3. **Real-Time Indexing**: Ability to index and search data almost instantaneously.\n4. **Powerful Query DSL**: A domain-specific language for constructing and executing sophisticated queries.\n5. **Analytics**: Capabilities for aggregating and analyzing data, often used for log and event data analysis.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Elasticsearch",
|
||||
"url": "https://www.elastic.co/elasticsearch/",
|
||||
"type": "article"
|
||||
}
|
||||
]
|
||||
},
|
||||
"9Fpoor-Os_9lvrwu5Zjh-": {
|
||||
"title": "Design and Development Principles",
|
||||
"description": "Design and Development Principles are fundamental guidelines that inform the creation of software systems. Key principles include:\n\n1. SOLID (Single Responsibility, Open-Closed, Liskov Substitution, Interface Segregation, Dependency Inversion)\n2. DRY (Don't Repeat Yourself)\n3. KISS (Keep It Simple, Stupid)\n4. YAGNI (You Aren't Gonna Need It)\n5. Separation of Concerns\n6. Modularity\n7. Encapsulation\n8. Composition over Inheritance\n9. Loose Coupling and High Cohesion\n10. Principle of Least Astonishment\n\nThese principles aim to create more maintainable, scalable, and robust software. They encourage clean code, promote reusability, reduce complexity, and enhance flexibility. While not rigid rules, these principles guide developers in making design decisions that lead to better software architecture and easier long-term maintenance. Applying these principles helps in creating systems that are easier to understand, modify, and extend over time.",
|
||||
"links": []
|
||||
"description": "Design and Development Principles are fundamental guidelines that inform the creation of software systems. Key principles include:\n\n* SOLID (Single Responsibility, Open-Closed, Liskov Substitution, Interface Segregation, Dependency Inversion)\n* DRY (Don't Repeat Yourself)\n* KISS (Keep It Simple, Stupid)\n* YAGNI (You Aren't Gonna Need It)\n* Separation of Concerns\n* Modularity\n* Encapsulation\n* Composition over Inheritance\n* Loose Coupling and High Cohesion\n* Principle of Least Astonishment\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Design Principles - Wikipedia",
|
||||
"url": "https://en.wikipedia.org/wiki/Design_principles",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "Design Principles - Microsoft",
|
||||
"url": "https://docs.microsoft.com/en-us/dotnet/standard/design-guidelines/index",
|
||||
"type": "article"
|
||||
}
|
||||
]
|
||||
},
|
||||
"EwvLPSI6AlZ4TnNIJTZA4": {
|
||||
"title": "Learn about APIs",
|
||||
@@ -71,7 +88,7 @@
|
||||
"description": "Rust is a systems programming language known for its focus on safety, performance, and concurrency. It provides fine-grained control over system resources while ensuring memory safety without needing a garbage collector. Rust's ownership model enforces strict rules on how data is accessed and managed, preventing common issues like null pointer dereferences and data races. Its strong type system and modern features, such as pattern matching and concurrency support, make it suitable for a wide range of applications, from low-level systems programming to high-performance web servers and tools. Rust is gaining traction in both industry and open source for its reliability and efficiency.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "The Rust Programming Language - online book",
|
||||
"title": "The Rust Programming Language - Book",
|
||||
"url": "https://doc.rust-lang.org/book/",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -334,8 +351,8 @@
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "Learn Git with Tutorials, News and Tips - Atlassian",
|
||||
"url": "https://www.atlassian.com/git",
|
||||
"title": "Git Documentation",
|
||||
"url": "https://git-scm.com/doc",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
@@ -370,8 +387,8 @@
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "Git",
|
||||
"url": "https://git-scm.com/",
|
||||
"title": "Git Documentation",
|
||||
"url": "https://git-scm.com/doc",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
@@ -396,7 +413,7 @@
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "GitHub Website",
|
||||
"title": "GitHub",
|
||||
"url": "https://github.com",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -424,7 +441,7 @@
|
||||
},
|
||||
"Ry_5Y-BK7HrkIc6X0JG1m": {
|
||||
"title": "Bitbucket",
|
||||
"description": "Bitbucket is a web-based version control repository hosting service owned by Atlassian. It primarily uses Git version control systems, offering both cloud-hosted and self-hosted options. Bitbucket provides features such as pull requests for code review, branch permissions, and inline commenting on code. It integrates seamlessly with other Atlassian products like Jira and Trello, making it popular among teams already using Atlassian tools. Bitbucket supports continuous integration and deployment through Bitbucket Pipelines. It offers unlimited private repositories for small teams, making it cost-effective for smaller organizations. While similar to GitHub in many aspects, Bitbucket's integration with Atlassian's ecosystem and its pricing model for private repositories are key differentiators. It's widely used for collaborative software development, particularly in enterprise environments already invested in Atlassian's suite of products.\n\nVisit the following resources to learn more:",
|
||||
"description": "Bitbucket is a web-based version control repository hosting service owned by Atlassian. It primarily uses Git version control systems, offering both cloud-hosted and self-hosted options. Bitbucket provides features such as pull requests for code review, branch permissions, and inline commenting on code. It integrates seamlessly with other Atlassian products like Jira and Trello, making it popular among teams already using Atlassian tools. Bitbucket supports continuous integration and deployment through Bitbucket Pipelines. It offers unlimited private repositories for small teams, making it cost-effective for smaller organizations.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Bitbucket Website",
|
||||
@@ -453,9 +470,9 @@
|
||||
"description": "GitLab is a web-based DevOps platform that provides a complete solution for the software development lifecycle. It offers source code management, continuous integration/continuous deployment (CI/CD), issue tracking, and more, all integrated into a single application. GitLab supports Git repositories and includes features like merge requests (similar to GitHub's pull requests), wiki pages, and issue boards. It emphasizes DevOps practices, providing built-in CI/CD pipelines, container registry, and Kubernetes integration. GitLab offers both cloud-hosted and self-hosted options, giving organizations flexibility in deployment. Its all-in-one approach differentiates it from competitors, as it includes features that might require multiple tools in other ecosystems. GitLab's focus on the entire DevOps lifecycle, from planning to monitoring, makes it popular among enterprises and teams seeking a unified platform for their development workflows.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "GitLab Website",
|
||||
"title": "GitLab",
|
||||
"url": "https://gitlab.com/",
|
||||
"type": "opensource"
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "GitLab Documentation",
|
||||
@@ -546,7 +563,7 @@
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "MS SQL website",
|
||||
"title": "MS SQL",
|
||||
"url": "https://www.microsoft.com/en-ca/sql-server/",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -567,12 +584,12 @@
|
||||
"description": "MySQL is an open-source relational database management system (RDBMS) known for its speed, reliability, and ease of use. It uses SQL (Structured Query Language) for database interactions and supports a range of features for data management, including transactions, indexing, and stored procedures. MySQL is widely used for web applications, data warehousing, and various other applications due to its scalability and flexibility. It integrates well with many programming languages and platforms, and is often employed in conjunction with web servers and frameworks in popular software stacks like LAMP (Linux, Apache, MySQL, PHP/Python/Perl). MySQL is maintained by Oracle Corporation and has a large community and ecosystem supporting its development and use.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "MySQL website",
|
||||
"title": "MySQL",
|
||||
"url": "https://www.mysql.com/",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "W3Schools - MySQL tutorial ",
|
||||
"title": "W3Schools - MySQL Tutorial",
|
||||
"url": "https://www.w3schools.com/mySQl/default.asp",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -603,12 +620,12 @@
|
||||
"description": "Oracle Database is a highly robust, enterprise-grade relational database management system (RDBMS) developed by Oracle Corporation. Known for its scalability, reliability, and comprehensive features, Oracle Database supports complex data management tasks and mission-critical applications. It provides advanced functionalities like SQL querying, transaction management, high availability through clustering, and data warehousing. Oracle's database solutions include support for various data models, such as relational, spatial, and graph, and offer tools for security, performance optimization, and data integration. It is widely used in industries requiring large-scale, secure, and high-performance data processing.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Official Website",
|
||||
"title": "Oracle Website",
|
||||
"url": "https://www.oracle.com/database/",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "Official Docs",
|
||||
"title": "Oracle Docs",
|
||||
"url": "https://docs.oracle.com/en/database/index.html",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -626,10 +643,10 @@
|
||||
},
|
||||
"tD3i-8gBpMKCHB-ITyDiU": {
|
||||
"title": "MariaDB",
|
||||
"description": "MariaDB server is a community developed fork of MySQL server. Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB was created with the intention of being a more versatile, drop-in replacement version of MySQL\n\nVisit the following resources to learn more:",
|
||||
"description": "MariaDB server is a community developed fork of MySQL server. Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most feature rich, stable, and sanely licensed open SQL server in the industry. MariaDB was created with the intention of being a more versatile, drop-in replacement version of MySQL\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "MariaDB website",
|
||||
"title": "MariaDB",
|
||||
"url": "https://mariadb.org/",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -782,8 +799,14 @@
|
||||
},
|
||||
"GwApfL4Yx-b5Y8dB9Vy__": {
|
||||
"title": "Failure Modes",
|
||||
"description": "Database failure modes refer to the various ways in which a database system can malfunction or cease to operate correctly. These include hardware failures (like disk crashes or network outages), software bugs, data corruption, performance degradation due to overload, and inconsistencies in distributed systems. Common failure modes involve data loss, system unavailability, replication lag in distributed databases, and deadlocks. To mitigate these, databases employ strategies such as redundancy, regular backups, transaction logging, and failover mechanisms. Understanding potential failure modes is crucial for designing robust database systems with high availability and data integrity. It informs the implementation of fault tolerance measures, recovery procedures, and monitoring systems to ensure database reliability and minimize downtime in critical applications.",
|
||||
"links": []
|
||||
"description": "Database failure modes refer to the various ways in which a database system can malfunction or cease to operate correctly. These include hardware failures (like disk crashes or network outages), software bugs, data corruption, performance degradation due to overload, and inconsistencies in distributed systems. Common failure modes involve data loss, system unavailability, replication lag in distributed databases, and deadlocks. To mitigate these, databases employ strategies such as redundancy, regular backups, transaction logging, and failover mechanisms. Understanding potential failure modes is crucial for designing robust database systems with high availability and data integrity. It informs the implementation of fault tolerance measures, recovery procedures, and monitoring systems to ensure database reliability and minimize downtime in critical applications.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Database Failure Modes",
|
||||
"url": "https://ieeexplore.ieee.org/document/7107294/",
|
||||
"type": "article"
|
||||
}
|
||||
]
|
||||
},
|
||||
"rq_y_OBMD9AH_4aoecvAi": {
|
||||
"title": "Transactions",
|
||||
@@ -921,7 +944,7 @@
|
||||
"description": "Data replication is the process of creating and maintaining multiple copies of the same data across different locations or nodes in a distributed system. It enhances data availability, reliability, and performance by ensuring that data remains accessible even if one or more nodes fail. Replication can be synchronous (changes are applied to all copies simultaneously) or asynchronous (changes are propagated after being applied to the primary copy). It's widely used in database systems, content delivery networks, and distributed file systems. Replication strategies include master-slave, multi-master, and peer-to-peer models. While improving fault tolerance and read performance, replication introduces challenges in maintaining data consistency across copies and managing potential conflicts. Effective replication strategies must balance consistency, availability, and partition tolerance, often in line with the principles of the CAP theorem.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "What is data replication?",
|
||||
"title": "Data Replication? - IBM",
|
||||
"url": "https://www.ibm.com/topics/data-replication",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -984,7 +1007,7 @@
|
||||
"description": "JSON or JavaScript Object Notation is an encoding scheme that is designed to eliminate the need for an ad-hoc code for each application to communicate with servers that communicate in a defined way. JSON API module exposes an implementation for data stores and data structures, such as entity types, bundles, and fields.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Official Website",
|
||||
"title": "JSON API",
|
||||
"url": "https://jsonapi.org/",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -1014,15 +1037,15 @@
|
||||
"url": "https://swagger.io/tools/swagger-editor/",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": " REST API and OpenAPI: It’s Not an Either/Or Question ",
|
||||
"url": "https://www.youtube.com/watch?v=pRS9LRBgjYg",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "OpenAPI 3.0: How to Design and Document APIs with the Latest OpenAPI Specification 3.0",
|
||||
"url": "https://www.youtube.com/watch?v=6kwmW_p_Tig",
|
||||
"type": "video"
|
||||
},
|
||||
{
|
||||
"title": " REST API and OpenAPI: It’s Not an Either/Or Question",
|
||||
"url": "https://www.youtube.com/watch?v=pRS9LRBgjYg",
|
||||
"type": "video"
|
||||
}
|
||||
]
|
||||
},
|
||||
@@ -1109,7 +1132,7 @@
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "GraphQL Official Website",
|
||||
"title": "GraphQL",
|
||||
"url": "https://graphql.org/",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -1130,7 +1153,7 @@
|
||||
"description": "Client-side caching is a technique where web browsers or applications store data locally on the user's device to improve performance and reduce server load. It involves saving copies of web pages, images, scripts, and other resources on the client's system for faster access on subsequent visits. Modern browsers implement various caching mechanisms, including HTTP caching (using headers like Cache-Control and ETag), service workers for offline functionality, and local storage APIs. Client-side caching significantly reduces network traffic and load times, enhancing user experience, especially on slower connections. However, it requires careful management to balance improved performance with the need for up-to-date content. Developers must implement appropriate cache invalidation strategies and consider cache-busting techniques for critical updates. Effective client-side caching is crucial for creating responsive, efficient web applications while minimizing server resource usage.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Client-side Caching",
|
||||
"title": "Client Side Caching",
|
||||
"url": "https://redis.io/docs/latest/develop/use/client-side-caching/",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -1143,13 +1166,18 @@
|
||||
},
|
||||
"Nq2BO53bHJdFT1rGZPjYx": {
|
||||
"title": "CDN",
|
||||
"description": "A Content Delivery Network (CDN) service aims to provide high availability and performance improvements of websites. This is achieved with fast delivery of website assets and content typically via geographically closer endpoints to the client requests. Traditional commercial CDNs (Amazon CloudFront, Akamai, CloudFlare and Fastly) provide servers across the globe which can be used for this purpose. Serving assets and contents via a CDN reduces bandwidth on website hosting, provides an extra layer of caching to reduce potential outages and can improve website security as well\n\nVisit the following resources to learn more:",
|
||||
"description": "A Content Delivery Network (CDN) service aims to provide high availability and performance improvements of websites. This is achieved with fast delivery of website assets and content typically via geographically closer endpoints to the client requests.\n\nTraditional commercial CDNs (Amazon CloudFront, Akamai, CloudFlare and Fastly) provide servers across the globe which can be used for this purpose. Serving assets and contents via a CDN reduces bandwidth on website hosting, provides an extra layer of caching to reduce potential outages and can improve website security as well\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "CloudFlare - What is a CDN? | How do CDNs work?",
|
||||
"url": "https://www.cloudflare.com/en-ca/learning/cdn/what-is-a-cdn/",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "AWS - CDN",
|
||||
"url": "https://aws.amazon.com/what-is/cdn/",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "What is Cloud CDN?",
|
||||
"url": "https://www.youtube.com/watch?v=841kyd_mfH0",
|
||||
@@ -1190,8 +1218,19 @@
|
||||
},
|
||||
"ELj8af7Mi38kUbaPJfCUR": {
|
||||
"title": "Caching",
|
||||
"description": "Caching is a technique used in computing to store and retrieve frequently accessed data quickly, reducing the need to fetch it from the original, slower source repeatedly. It involves keeping a copy of data in a location that's faster to access than its primary storage. Caching can occur at various levels, including browser caching, application-level caching, and database caching. It significantly improves performance by reducing latency, decreasing network traffic, and lowering the load on servers or databases. Common caching strategies include time-based expiration, least recently used (LRU) algorithms, and write-through or write-back policies. While caching enhances speed and efficiency, it also introduces challenges in maintaining data consistency and freshness. Effective cache management is crucial in balancing performance gains with the need for up-to-date information in dynamic systems.",
|
||||
"links": []
|
||||
"description": "Caching is a technique used in computing to store and retrieve frequently accessed data quickly, reducing the need to fetch it from the original, slower source repeatedly. It involves keeping a copy of data in a location that's faster to access than its primary storage. Caching can occur at various levels, including browser caching, application-level caching, and database caching. It significantly improves performance by reducing latency, decreasing network traffic, and lowering the load on servers or databases. Common caching strategies include time-based expiration, least recently used (LRU) algorithms, and write-through or write-back policies. While caching enhances speed and efficiency, it also introduces challenges in maintaining data consistency and freshness. Effective cache management is crucial in balancing performance gains with the need for up-to-date information in dynamic systems.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "What is Caching - AWS",
|
||||
"url": "https://aws.amazon.com/caching/",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "Caching - Cloudflare",
|
||||
"url": "https://www.cloudflare.com/learning/cdn/what-is-caching/",
|
||||
"type": "article"
|
||||
}
|
||||
]
|
||||
},
|
||||
"RBrIP5KbVQ2F0ly7kMfTo": {
|
||||
"title": "Web Security",
|
||||
@@ -1333,7 +1372,7 @@
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "DevOps CI/CD Explained in 100 Seconds by Fireship",
|
||||
"title": "DevOps CI/CD Explained in 100 Seconds",
|
||||
"url": "https://www.youtube.com/watch?v=scEDHsr3APg",
|
||||
"type": "video"
|
||||
},
|
||||
@@ -1581,7 +1620,7 @@
|
||||
},
|
||||
"8DmabQJXlrT__COZrDVTV": {
|
||||
"title": "Twelve Factor Apps",
|
||||
"description": "The Twelve-Factor App methodology is a set of principles for building modern, scalable, and maintainable web applications, particularly suited for cloud environments. It emphasizes best practices for developing applications in a way that facilitates portability, scalability, and ease of deployment. Key principles include:\n\n1. **Codebase**: One codebase tracked in version control, with many deploys.\n2. **Dependencies**: Explicitly declare and isolate dependencies.\n3. **Config**: Store configuration in the environment.\n4. **Backing Services**: Treat backing services as attached resources.\n5. **Build, Release, Run**: Separate build and run stages.\n6. **Processes**: Execute the app as one or more stateless processes.\n7. **Port Binding**: Export services via port binding.\n8. **Concurrency**: Scale out via the process model.\n9. **Disposability**: Maximize robustness with fast startup and graceful shutdown.\n10. **Dev/Prod Parity**: Keep development, staging, and production environments as similar as possible.\n11. **Logs**: Treat logs as streams of events.\n12. **Admin Processes**: Run administrative or management tasks as one-off processes.\n\nThese principles help create applications that are easy to deploy, manage, and scale in cloud environments, promoting operational simplicity and consistency.\n\nVisit the following resources to learn more:",
|
||||
"description": "The Twelve-Factor App methodology is a set of principles for building modern, scalable, and maintainable web applications, particularly suited for cloud environments. It emphasizes best practices for developing applications in a way that facilitates portability, scalability, and ease of deployment. Key principles include:\n\n1. **Codebase**: One codebase tracked in version control, with many deploys.\n2. **Dependencies**: Explicitly declare and isolate dependencies.\n3. **Config**: Store configuration in the environment.\n4. **Backing Services**: Treat backing services as attached resources.\n5. **Build, Release, Run**: Separate build and run stages.\n6. **Processes**: Execute the app as one or more stateless processes.\n7. **Port Binding**: Export services via port binding.\n8. **Concurrency**: Scale out via the process model.\n9. **Disposability**: Maximize robustness with fast startup and graceful shutdown.\n10. **Dev/Prod Parity**: Keep development, staging, and production environments as similar as possible.\n11. **Logs**: Treat logs as streams of events.\n12. **Admin Processes**: Run administrative or management tasks as one-off processes.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "The Twelve-Factor App",
|
||||
@@ -1647,7 +1686,7 @@
|
||||
"description": "Apache Kafka is a distributed event streaming platform designed for high-throughput, fault-tolerant data processing. It acts as a message broker, allowing systems to publish and subscribe to streams of records, similar to a distributed commit log. Kafka is highly scalable and can handle large volumes of data with low latency, making it ideal for real-time analytics, log aggregation, and data integration. It features topics for organizing data streams, partitions for parallel processing, and replication for fault tolerance, enabling reliable and efficient handling of large-scale data flows across distributed systems.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Apache Kafka quickstart",
|
||||
"title": "Apache Kafka",
|
||||
"url": "https://kafka.apache.org/quickstart",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -1704,12 +1743,12 @@
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "Getting started with LXD Containerization",
|
||||
"title": "Getting Started with LXD Containerization",
|
||||
"url": "https://www.youtube.com/watch?v=aIwgPKkVj8s",
|
||||
"type": "video"
|
||||
},
|
||||
{
|
||||
"title": "Getting started with LXC containers",
|
||||
"title": "Getting Started with LXC containers",
|
||||
"url": "https://youtu.be/CWmkSj_B-wo",
|
||||
"type": "video"
|
||||
}
|
||||
@@ -1767,7 +1806,7 @@
|
||||
"description": "Server-Sent Events (SSE) is a technology for sending real-time updates from a server to a web client over a single, persistent HTTP connection. It enables servers to push updates to clients efficiently and automatically reconnects if the connection is lost. SSE is ideal for applications needing one-way communication, such as live notifications or real-time data feeds, and uses a simple text-based format for transmitting event data, which can be easily handled by clients using the `EventSource` API in JavaScript.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Server-Sent Events - MDN",
|
||||
"title": "Server Sent Events - MDN",
|
||||
"url": "https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -1783,7 +1822,7 @@
|
||||
"description": "Nginx is a high-performance, open-source web server and reverse proxy server known for its efficiency, scalability, and low resource consumption. Originally developed as a web server, Nginx is also commonly used as a load balancer, HTTP cache, and mail proxy. It excels at handling a large number of concurrent connections due to its asynchronous, event-driven architecture. Nginx's features include support for serving static content, handling dynamic content through proxying to application servers, and providing SSL/TLS termination. Its modular design allows for extensive customization and integration with various applications and services, making it a popular choice for modern web infrastructures.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Official Website",
|
||||
"title": "Nginx Website",
|
||||
"url": "https://nginx.org/",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -1809,7 +1848,7 @@
|
||||
"description": "Caddy is a modern, open-source web server written in Go. It's known for its simplicity, automatic HTTPS encryption, and HTTP/2 support out of the box. Caddy stands out for its ease of use, with a simple configuration syntax and the ability to serve static files with zero configuration. It automatically obtains and renews SSL/TLS certificates from Let's Encrypt, making secure deployments straightforward. Caddy supports various plugins and modules for extended functionality, including reverse proxying, load balancing, and dynamic virtual hosting. It's designed with security in mind, implementing modern web standards by default. While it may not match the raw performance of servers like Nginx in extremely high-load scenarios, Caddy's simplicity, built-in security features, and low resource usage make it an attractive choice for many web hosting needs, particularly for smaller to medium-sized projects or developers seeking a hassle-free server setup.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "caddyserver/caddy",
|
||||
"title": "caddyserver/caddy - Caddy on GitHub",
|
||||
"url": "https://github.com/caddyserver/caddy",
|
||||
"type": "opensource"
|
||||
},
|
||||
@@ -1856,7 +1895,7 @@
|
||||
"description": "Microsoft Internet Information Services (IIS) is a flexible, secure, and high-performance web server developed by Microsoft for hosting and managing web applications and services on Windows Server. IIS supports a variety of web technologies, including [ASP.NET](http://ASP.NET), PHP, and static content. It provides features such as request handling, authentication, SSL/TLS encryption, and URL rewriting. IIS also offers robust management tools, including a graphical user interface and command-line options, for configuring and monitoring web sites and applications. It is commonly used for deploying enterprise web applications and services in a Windows-based environment, offering integration with other Microsoft technologies and services.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Official Website",
|
||||
"title": "Microsoft -IIS",
|
||||
"url": "https://www.iis.net/",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -1942,7 +1981,7 @@
|
||||
},
|
||||
"xPvVwGQw28uMeLYIWn8yn": {
|
||||
"title": "Memcached",
|
||||
"description": "Memcached (pronounced variously mem-cash-dee or mem-cashed) is a general-purpose distributed memory-caching system. It is often used to speed up dynamic database-driven websites by caching data and objects in RAM to reduce the number of times an external data source (such as a database or API) must be read. Memcached is free and open-source software, licensed under the Revised BSD license. Memcached runs on Unix-like operating systems (Linux and macOS) and on Microsoft Windows. It depends on the `libevent` library. Memcached's APIs provide a very large hash table distributed across multiple machines. When the table is full, subsequent inserts cause older data to be purged in the least recently used (LRU) order. Applications using Memcached typically layer requests and additions into RAM before falling back on a slower backing store, such as a database.\n\nMemcached has no internal mechanism to track misses which may happen. However, some third-party utilities provide this functionality.\n\nVisit the following resources to learn more:",
|
||||
"description": "Memcached (pronounced variously mem-cash-dee or mem-cashed) is a general-purpose distributed memory-caching system. It is often used to speed up dynamic database-driven websites by caching data and objects in RAM to reduce the number of times an external data source (such as a database or API) must be read. Memcached is free and open-source software, licensed under the Revised BSD license. Memcached runs on Unix-like operating systems (Linux and macOS) and on Microsoft Windows. It depends on the `libevent` library. Memcached's APIs provide a very large hash table distributed across multiple machines. When the table is full, subsequent inserts cause older data to be purged in the least recently used (LRU) order. Applications using Memcached typically layer requests and additions into RAM before falling back on a slower backing store, such as a database.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "memcached/memcached",
|
||||
@@ -2091,7 +2130,7 @@
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "Backpressure explained — the resisted flow of data through software",
|
||||
"title": "Backpressure explained — The Resisted Flow of Data through Software",
|
||||
"url": "https://medium.com/@jayphelps/backpressure-explained-the-flow-of-data-through-software-2350b3e77ce7",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -2136,7 +2175,7 @@
|
||||
},
|
||||
"f7iWBkC0X7yyCoP_YubVd": {
|
||||
"title": "Migration Strategies",
|
||||
"description": "Migration strategies involve planning and executing the transition of applications, data, or infrastructure from one environment to another, such as from on-premises systems to the cloud or between different cloud providers. Key strategies include:\n\n1. **Rehost (Lift and Shift)**: Moving applications as-is to the new environment with minimal changes, which is often the quickest but may not fully leverage new platform benefits.\n2. **Replatform**: Making some optimizations or changes to adapt applications for the new environment, enhancing performance or scalability while retaining most of the existing architecture.\n3. **Refactor**: Redesigning and modifying applications to optimize for the new environment, often taking advantage of new features and improving functionality or performance.\n4. **Repurchase**: Replacing existing applications with new, often cloud-based, solutions that better meet current needs.\n5. **Retain**: Keeping certain applications or systems in their current environment due to specific constraints or requirements.\n6. **Retire**: Decommissioning applications that are no longer needed or are redundant.\n\nEach strategy has its own trade-offs in terms of cost, complexity, and benefits, and the choice depends on factors like the application’s architecture, business needs, and resource availability.\n\nVisit the following resources to learn more:",
|
||||
"description": "Migration strategies involve planning and executing the transition of applications, data, or infrastructure from one environment to another, such as from on-premises systems to the cloud or between different cloud providers. Key strategies include:\n\n1. **Rehost (Lift and Shift)**: Moving applications as-is to the new environment with minimal changes, which is often the quickest but may not fully leverage new platform benefits.\n2. **Replatform**: Making some optimizations or changes to adapt applications for the new environment, enhancing performance or scalability while retaining most of the existing architecture.\n3. **Refactor**: Redesigning and modifying applications to optimize for the new environment, often taking advantage of new features and improving functionality or performance.\n4. **Repurchase**: Replacing existing applications with new, often cloud-based, solutions that better meet current needs.\n5. **Retain**: Keeping certain applications or systems in their current environment due to specific constraints or requirements.\n6. **Retire**: Decommissioning applications that are no longer needed or are redundant.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Databases as a Challenge for Continuous Delivery",
|
||||
@@ -2152,7 +2191,7 @@
|
||||
},
|
||||
"osQlGGy38xMcKLtgZtWaZ": {
|
||||
"title": "Types of Scaling",
|
||||
"description": "Horizontal scaling (scaling out/in) involves adding or removing instances of resources, such as servers or containers, to handle increased or decreased loads. It distributes the workload across multiple instances to improve performance and redundancy. This method enhances the system's capacity by expanding the number of nodes in a distributed system.\n\nVertical scaling (scaling up/down) involves increasing or decreasing the resources (CPU, memory, storage) of a single instance or server to handle more load or reduce capacity. This method improves performance by upgrading the existing hardware or virtual machine but has limits based on the maximum capacity of the individual resource.\n\nBoth approaches have their advantages: horizontal scaling offers better fault tolerance and flexibility, while vertical scaling is often simpler to implement but can be limited by the hardware constraints of a single machine.\n\nVisit the following resources to learn more:",
|
||||
"description": "Horizontal scaling (scaling out/in) involves adding or removing instances of resources, such as servers or containers, to handle increased or decreased loads. It distributes the workload across multiple instances to improve performance and redundancy. This method enhances the system's capacity by expanding the number of nodes in a distributed system.\n\nVertical scaling (scaling up/down) involves increasing or decreasing the resources (CPU, memory, storage) of a single instance or server to handle more load or reduce capacity. This method improves performance by upgrading the existing hardware or virtual machine but has limits based on the maximum capacity of the individual resource.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Horizontal vs Vertical Scaling",
|
||||
@@ -2207,7 +2246,7 @@
|
||||
"description": "Monitoring involves continuously observing and tracking the performance, availability, and health of systems, applications, and infrastructure. It typically includes collecting and analyzing metrics, logs, and events to ensure systems are operating within desired parameters. Monitoring helps detect anomalies, identify potential issues before they escalate, and provides insights into system behavior. It often involves tools and platforms that offer dashboards, alerts, and reporting features to facilitate real-time visibility and proactive management. Effective monitoring is crucial for maintaining system reliability, performance, and for supporting incident response and troubleshooting.\n\nA few popular tools are Grafana, Sentry, Mixpanel, NewRelic.",
|
||||
"links": [
|
||||
{
|
||||
"title": "Top monitoring tools 2024",
|
||||
"title": "Top Monitoring Tools",
|
||||
"url": "https://thectoclub.com/tools/best-application-monitoring-software/",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -2307,9 +2346,9 @@
|
||||
"description": "Bcrypt is a password-hashing function designed to securely hash passwords for storage in databases. Created by Niels Provos and David Mazières, it's based on the Blowfish cipher and incorporates a salt to protect against rainbow table attacks. Bcrypt's key feature is its adaptive nature, allowing for the adjustment of its cost factor to make it slower as computational power increases, thus maintaining resistance against brute-force attacks over time. It produces a fixed-size hash output, typically 60 characters long, which includes the salt and cost factor. Bcrypt is widely used in many programming languages and frameworks due to its security strength and relative ease of implementation. Its deliberate slowness in processing makes it particularly effective for password storage, where speed is not a priority but security is paramount.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "bcrypts npm package",
|
||||
"title": "bcrypt",
|
||||
"url": "https://www.npmjs.com/package/bcrypt",
|
||||
"type": "article"
|
||||
"type": "opensource"
|
||||
},
|
||||
{
|
||||
"title": "Understanding bcrypt",
|
||||
@@ -2429,7 +2468,7 @@
|
||||
},
|
||||
"TZ0BWOENPv6pQm8qYB8Ow": {
|
||||
"title": "Server Security",
|
||||
"description": "Server security involves protecting servers from threats and vulnerabilities to ensure the confidentiality, integrity, and availability of the data and services they manage. Key practices include:\n\n1. **Patch Management**: Regularly updating software and operating systems to fix vulnerabilities.\n2. **Access Control**: Implementing strong authentication mechanisms and restricting access to authorized users only.\n3. **Firewalls and Intrusion Detection**: Using firewalls to block unauthorized access and intrusion detection systems to monitor and respond to suspicious activities.\n4. **Encryption**: Encrypting data both in transit and at rest to protect sensitive information from unauthorized access.\n5. **Security Hardening**: Configuring servers with minimal services and features, applying security best practices to reduce the attack surface.\n6. **Regular Backups**: Performing regular backups to ensure data can be restored in case of loss or corruption.\n7. **Monitoring and Logging**: Continuously monitoring server activity and maintaining logs for auditing and detecting potential security incidents.\n\nEffective server security is crucial for safeguarding against attacks, maintaining system stability, and protecting sensitive data.\n\nLearn more from the following resources:",
|
||||
"description": "Server security involves protecting servers from threats and vulnerabilities to ensure the confidentiality, integrity, and availability of the data and services they manage. Key practices include:\n\n1. **Patch Management**: Regularly updating software and operating systems to fix vulnerabilities.\n2. **Access Control**: Implementing strong authentication mechanisms and restricting access to authorized users only.\n3. **Firewalls and Intrusion Detection**: Using firewalls to block unauthorized access and intrusion detection systems to monitor and respond to suspicious activities.\n4. **Encryption**: Encrypting data both in transit and at rest to protect sensitive information from unauthorized access.\n5. **Security Hardening**: Configuring servers with minimal services and features, applying security best practices to reduce the attack surface.\n6. **Regular Backups**: Performing regular backups to ensure data can be restored in case of loss or corruption.\n7. **Monitoring and Logging**: Continuously monitoring server activity and maintaining logs for auditing and detecting potential security incidents.\n\nLearn more from the following resources:",
|
||||
"links": [
|
||||
{
|
||||
"title": "What is a hardened server?",
|
||||
@@ -2600,7 +2639,7 @@
|
||||
},
|
||||
"hkxw9jPGYphmjhTjw8766": {
|
||||
"title": "DNS and how it works?",
|
||||
"description": "DNS (Domain Name System) is a hierarchical, decentralized naming system for computers, services, or other resources connected to the Internet or a private network. It translates human-readable domain names (like [www.example.com](http://www.example.com)) into IP addresses (like 192.0.2.1) that computers use to identify each other. DNS servers distributed worldwide work together to resolve these queries, forming a global directory service. The system uses a tree-like structure with root servers at the top, followed by top-level domain servers (.com, .org, etc.), authoritative name servers for specific domains, and local DNS servers. DNS is crucial for the functioning of the Internet, enabling users to access websites and services using memorable names instead of numerical IP addresses. It also supports email routing, service discovery, and other network protocols.\n\nVisit the following resources to learn more:",
|
||||
"description": "DNS (Domain Name System) is a hierarchical, decentralized naming system for computers, services, or other resources connected to the Internet or a private network. It translates human-readable domain names (like `www.example.com`) into IP addresses (like 192.0.2.1) that computers use to identify each other. DNS servers distributed worldwide work together to resolve these queries, forming a global directory service. The system uses a tree-like structure with root servers at the top, followed by top-level domain servers (.com, .org, etc.), authoritative name servers for specific domains, and local DNS servers. DNS is crucial for the functioning of the Internet, enabling users to access websites and services using memorable names instead of numerical IP addresses. It also supports email routing, service discovery, and other network protocols.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "What is DNS?",
|
||||
@@ -2811,7 +2850,7 @@
|
||||
"description": "OpenID is an open standard for decentralized authentication that allows users to log in to multiple websites and applications using a single set of credentials, managed by an identity provider (IdP). It enables users to authenticate their identity through an external service, simplifying the login process and reducing the need for multiple usernames and passwords. OpenID typically works in conjunction with OAuth 2.0 for authorization, allowing users to grant access to their data while maintaining security. This approach enhances user convenience and streamlines identity management across various platforms.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Official Website",
|
||||
"title": "OpenID Website",
|
||||
"url": "https://openid.net/",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -2839,7 +2878,7 @@
|
||||
},
|
||||
"UCHtaePVxS-0kpqlYxbfC": {
|
||||
"title": "SAML",
|
||||
"description": "Security Assertion Markup Language (SAML)\n-----------------------------------------\n\nSecurity Assertion Markup Language (SAML) is an XML-based framework used for single sign-on (SSO) and identity federation, enabling users to authenticate once and gain access to multiple applications or services. It allows for the exchange of authentication and authorization data between an identity provider (IdP) and a service provider (SP). SAML assertions are XML documents that contain user identity information and attributes, and are used to convey authentication credentials and permissions. By implementing SAML, organizations can streamline user management, enhance security through centralized authentication, and simplify the user experience by reducing the need for multiple logins across different systems.\n\nLearn more from the following resources:",
|
||||
"description": "Security Assertion Markup Language (SAML) is an XML-based framework used for single sign-on (SSO) and identity federation, enabling users to authenticate once and gain access to multiple applications or services. It allows for the exchange of authentication and authorization data between an identity provider (IdP) and a service provider (SP). SAML assertions are XML documents that contain user identity information and attributes, and are used to convey authentication credentials and permissions. By implementing SAML, organizations can streamline user management, enhance security through centralized authentication, and simplify the user experience by reducing the need for multiple logins across different systems.\n\nLearn more from the following resources:",
|
||||
"links": [
|
||||
{
|
||||
"title": "SAML Explained in Plain English",
|
||||
@@ -2884,17 +2923,17 @@
|
||||
"description": "Solr is an open-source, highly scalable search platform built on Apache Lucene, designed for full-text search, faceted search, and real-time indexing. It provides powerful features for indexing and querying large volumes of data with high performance and relevance. Solr supports complex queries, distributed searching, and advanced text analysis, including tokenization and stemming. It offers features such as faceted search, highlighting, and geographic search, and is commonly used for building search engines and data retrieval systems in various applications, from e-commerce to content management.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "apache/solr",
|
||||
"title": "Solr on Github",
|
||||
"url": "https://github.com/apache/solr",
|
||||
"type": "opensource"
|
||||
},
|
||||
{
|
||||
"title": "Official Website",
|
||||
"title": "Solr Website",
|
||||
"url": "https://solr.apache.org/",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "Official Documentation",
|
||||
"title": "Solr Documentation",
|
||||
"url": "https://solr.apache.org/resources.html#documentation",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -2910,7 +2949,7 @@
|
||||
"description": "Real-time data refers to information that is processed and made available immediately or with minimal delay, allowing users or systems to react promptly to current conditions. This type of data is essential in applications requiring immediate updates and responses, such as financial trading platforms, online gaming, real-time analytics, and monitoring systems. Real-time data processing involves capturing, analyzing, and delivering information as it is generated, often using technologies like stream processing frameworks (e.g., Apache Kafka, Apache Flink) and low-latency databases. Effective real-time data systems can handle high-speed data flows, ensuring timely and accurate decision-making.\n\nLearn more from the following resources:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Real-time data - Wiki",
|
||||
"title": "Real-time Data - Wiki",
|
||||
"url": "https://en.wikipedia.org/wiki/Real-time_data",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -2942,7 +2981,7 @@
|
||||
"description": "Short polling is a technique where a client periodically sends requests to a server at regular intervals to check for updates or new data. The server responds with the current state or any changes since the last request. While simple to implement and compatible with most HTTP infrastructures, short polling can be inefficient due to the frequent network requests and potential for increased latency in delivering updates. It contrasts with long polling and WebSockets, which offer more efficient mechanisms for real-time communication. Short polling is often used when real-time requirements are less stringent and ease of implementation is a priority.\n\nLearn more from the following resources:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Amazon SQS short and long polling",
|
||||
"title": "Amazon SQS Short and Long Polling",
|
||||
"url": "https://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/sqs-short-and-long-polling.html",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -2984,7 +3023,7 @@
|
||||
"description": "Amazon DynamoDB is a fully managed, serverless NoSQL database service provided by Amazon Web Services (AWS). It offers high-performance, scalable, and flexible data storage for applications of any scale. DynamoDB supports both key-value and document data models, providing fast and predictable performance with seamless scalability. It features automatic scaling, built-in security, backup and restore options, and global tables for multi-region deployment. DynamoDB excels in handling high-traffic web applications, gaming backends, mobile apps, and IoT solutions. It offers consistent single-digit millisecond latency at any scale and supports both strongly consistent and eventually consistent read models. With its integration into the AWS ecosystem, on-demand capacity mode, and support for transactions, DynamoDB is widely used for building highly responsive and scalable applications, particularly those with unpredictable workloads or requiring low-latency data access.\n\nLearn more from the following resources:",
|
||||
"links": [
|
||||
{
|
||||
"title": "AWS DynamoDB Website",
|
||||
"title": "AWS DynamoDB",
|
||||
"url": "https://aws.amazon.com/dynamodb/",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -3002,10 +3041,10 @@
|
||||
},
|
||||
"RyJFLLGieJ8Xjt-DlIayM": {
|
||||
"title": "Firebase",
|
||||
"description": "Firebase is a comprehensive mobile and web application development platform owned by Google. It provides a suite of cloud-based services that simplify app development, hosting, and scaling. Key features include real-time database, cloud storage, authentication, hosting, cloud functions, and analytics. Firebase offers real-time synchronization, allowing data to be updated across clients instantly. Its authentication service supports multiple providers, including email/password, social media logins, and phone authentication. The platform's serverless architecture enables developers to focus on front-end development without managing backend infrastructure. Firebase also provides tools for app testing, crash reporting, and performance monitoring. While it excels in rapid prototyping and building real-time applications, its proprietary nature and potential for vendor lock-in are considerations for large-scale or complex applications. Firebase's ease of use and integration with Google Cloud Platform make it popular for startups and projects requiring quick deployment.\n\nLearn more from the following resources:",
|
||||
"description": "Firebase is a comprehensive mobile and web application development platform owned by Google. It provides a suite of cloud-based services that simplify app development, hosting, and scaling. Key features include real-time database, cloud storage, authentication, hosting, cloud functions, and analytics. Firebase offers real-time synchronization, allowing data to be updated across clients instantly. Its authentication service supports multiple providers, including email/password, social media logins, and phone authentication. The platform's serverless architecture enables developers to focus on front-end development without managing backend infrastructure. Firebase also provides tools for app testing, crash reporting, and performance monitoring.\n\nLearn more from the following resources:",
|
||||
"links": [
|
||||
{
|
||||
"title": "The ultimate guide to Firebase",
|
||||
"title": "The Ultimate Guide to Firebase",
|
||||
"url": "https://fireship.io/lessons/the-ultimate-beginners-guide-to-firebase/",
|
||||
"type": "course"
|
||||
},
|
||||
@@ -3042,7 +3081,7 @@
|
||||
"description": "SQLite is a lightweight, serverless, self-contained SQL database engine that is designed for simplicity and efficiency. It is widely used in embedded systems and applications where a full-featured database server is not required, such as mobile apps, desktop applications, and small to medium-sized websites. SQLite stores data in a single file, which makes it easy to deploy and manage. It supports standard SQL queries and provides ACID (Atomicity, Consistency, Isolation, Durability) compliance to ensure data integrity. SQLite’s small footprint, minimal configuration, and ease of use make it a popular choice for applications needing a compact, high-performance database solution.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "SQLite website",
|
||||
"title": "SQLite",
|
||||
"url": "https://www.sqlite.org/index.html",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -3104,7 +3143,7 @@
|
||||
"type": "video"
|
||||
},
|
||||
{
|
||||
"title": "What is time series data?",
|
||||
"title": "What is Time Series Data?",
|
||||
"url": "https://www.youtube.com/watch?v=Se5ipte9DMY",
|
||||
"type": "video"
|
||||
}
|
||||
@@ -3209,7 +3248,7 @@
|
||||
"description": "Database migrations are a version-controlled way to manage and apply incremental changes to a database schema over time, allowing developers to modify the database structure (e.g., adding tables, altering columns) without affecting existing data. They ensure that the database evolves alongside application code in a consistent, repeatable manner across environments (e.g., development, testing, production), while maintaining compatibility with older versions of the schema. Migrations are typically written in SQL or a database-agnostic language, and are executed using migration tools like Liquibase, Flyway, or built-in ORM features such as Django or Rails migrations.\n\nLearn more from the following resources:",
|
||||
"links": [
|
||||
{
|
||||
"title": "What are database migrations?",
|
||||
"title": "What are Database Migrations?",
|
||||
"url": "https://www.prisma.io/dataguide/types/relational/what-are-database-migrations",
|
||||
"type": "article"
|
||||
},
|
||||
|
||||
@@ -372,16 +372,6 @@
|
||||
"url": "https://www.coursera.org/lecture/data-structures/doubly-linked-lists-jpGKD",
|
||||
"type": "course"
|
||||
},
|
||||
{
|
||||
"title": "CS 61B Lecture 7: Linked Lists I",
|
||||
"url": "https://archive.org/details/ucberkeley_webcast_htzJdKoEmO0",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "CS 61B Lecture 7: Linked Lists II",
|
||||
"url": "https://archive.org/details/ucberkeley_webcast_-c4I3gFYe3w",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "Linked List Data Structure | Illustrated Data Structures",
|
||||
"url": "https://www.youtube.com/watch?v=odW9FU8jPRQ",
|
||||
@@ -392,6 +382,16 @@
|
||||
"url": "https://www.youtube.com/watch?v=F8AbOfQwl1c",
|
||||
"type": "video"
|
||||
},
|
||||
{
|
||||
"title": "CS 61B Lecture 7: Linked Lists I",
|
||||
"url": "https://archive.org/details/ucberkeley_webcast_htzJdKoEmO0",
|
||||
"type": "video"
|
||||
},
|
||||
{
|
||||
"title": "CS 61B Lecture 7: Linked Lists II",
|
||||
"url": "https://archive.org/details/ucberkeley_webcast_-c4I3gFYe3w",
|
||||
"type": "video"
|
||||
},
|
||||
{
|
||||
"title": "Why you should avoid Linked Lists?",
|
||||
"url": "https://www.youtube.com/watch?v=YQs6IC-vgmo",
|
||||
@@ -511,16 +511,16 @@
|
||||
"url": "https://www.coursera.org/lecture/data-structures/dynamic-arrays-EwbnV",
|
||||
"type": "course"
|
||||
},
|
||||
{
|
||||
"title": "UC Berkeley CS61B - Linear and Multi-Dim Arrays (Start watching from 15m 32s)",
|
||||
"url": "https://archive.org/details/ucberkeley_webcast_Wp8oiO_CZZE",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "Array Data Structure | Illustrated Data Structures",
|
||||
"url": "https://www.youtube.com/watch?v=QJNwK2uJyGs",
|
||||
"type": "video"
|
||||
},
|
||||
{
|
||||
"title": "UC Berkeley CS61B - Linear and Multi-Dim Arrays (Start watching from 15m 32s)",
|
||||
"url": "https://archive.org/details/ucberkeley_webcast_Wp8oiO_CZZE",
|
||||
"type": "video"
|
||||
},
|
||||
{
|
||||
"title": "Dynamic and Static Arrays",
|
||||
"url": "https://www.youtube.com/watch?v=PEnFFiQe1pM&list=PLDV1Zeh2NRsB6SWUrDFW2RmDotAfPbeHu&index=6",
|
||||
@@ -3786,7 +3786,7 @@
|
||||
},
|
||||
"7r7o8pYhFHVAJIv0wNT6X": {
|
||||
"title": "Hashing / Encryption / Encoding",
|
||||
"description": "Hashing is a one-way function that takes an input and produces a fixed-length output. The output is called a hash. The hash is a unique representation of the input. The hash is deterministic, meaning that the same input will always produce the same hash. The hash is irreversible, meaning that it is impossible to go from the hash back to the original input. The hash is collision-resistant, meaning that it is impossible to find two different inputs that produce the same hash.\n\nEncryption is a two-way function that takes an input and produces an output. The output is called ciphertext. The ciphertext is a unique representation of the input. The ciphertext is deterministic, meaning that the same input will always produce the same ciphertext. The ciphertext is reversible, meaning that it is possible to go from the ciphertext back to the original input. The ciphertext is collision-resistant, meaning that it is impossible to find two different inputs that produce the same ciphertext.\n\nEncoding is a two-way function that takes an input and produces an output. The output is called encoded text. The encoded text is a unique representation of the input. The encoded text is deterministic, meaning that the same input will always produce the same encoded text. The encoded text is reversible, meaning that it is possible to go from the encoded text back to the original input. The encoded text is not collision-resistant, meaning that it is possible to find two different inputs that produce the same encoded text.\n\nVisit the following resources to learn more:",
|
||||
"description": "Hashing is a one-way function that takes an input and produces a fixed-length output. The output is called a hash. The hash is a unique representation of the input. The hash is deterministic, meaning that the same input will always produce the same hash. The hash is irreversible, meaning that it is impossible to go from the hash back to the original input. The hash is not collision-resistant, meaning that it is possible to find two different inputs that produce the same hash.\n\nEncryption is a two-way function that takes an input and produces an output. The output is called ciphertext. The ciphertext is a unique representation of the input. The ciphertext is deterministic, meaning that the same input will always produce the same ciphertext. The ciphertext is reversible, meaning that it is possible to go from the ciphertext back to the original input. The ciphertext is collision-resistant, meaning that it is impossible to find two different inputs that produce the same ciphertext.\n\nEncoding is a two-way function that takes an input and produces an output. The output is called encoded text. The encoded text is a unique representation of the input. The encoded text is deterministic, meaning that the same input will always produce the same encoded text. The encoded text is reversible, meaning that it is possible to go from the encoded text back to the original input. The encoded text is collision-resistant, meaning that it is impossible to find two different inputs that produce the same encoded text.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Explore top posts about Encryption",
|
||||
|
||||
@@ -766,7 +766,7 @@
|
||||
},
|
||||
"dJ0NUsODFhk52W2zZxoPh": {
|
||||
"title": "SSL and TLS Basics",
|
||||
"description": "Single Sign-On (SSO) is an authentication method that allows users to access multiple applications or systems with one set of login credentials. It enables users to log in once and gain access to various connected systems without re-entering credentials. SSO enhances user experience by reducing password fatigue, streamlines access management for IT departments, and can improve security by centralizing authentication controls. It typically uses protocols like SAML, OAuth, or OpenID Connect to securely share authentication information across different domains. While SSO offers convenience and can strengthen security when implemented correctly, it also presents a single point of failure if compromised, making robust security measures for the SSO system critical.\n\nLearn more from the following resources:",
|
||||
"description": "Secure Sockets Layer (SSL) and Transport Layer Security (TLS) are cryptographic protocols used to provide security in internet communications. These protocols encrypt the data that is transmitted over the web, so anyone who tries to intercept packets will not be able to interpret the data. One difference that is important to know is that SSL is now deprecated due to security flaws, and most modern web browsers no longer support it. But TLS is still secure and widely supported, so preferably use TLS.\n\nLearn more from the following resources:",
|
||||
"links": [
|
||||
{
|
||||
"title": "What’s the Difference Between SSL and TLS?",
|
||||
@@ -3223,7 +3223,7 @@
|
||||
},
|
||||
"6ILPXeUDDmmYRiA_gNTSr": {
|
||||
"title": "SSL vs TLS",
|
||||
"description": "Single Sign-On (SSO) is an authentication method that allows users to access multiple applications or systems with one set of login credentials. It enables users to log in once and gain access to various connected systems without re-entering credentials. SSO enhances user experience by reducing password fatigue, streamlines access management for IT departments, and can improve security by centralizing authentication controls. It typically uses protocols like SAML, OAuth, or OpenID Connect to securely share authentication information across different domains. While SSO offers convenience and can strengthen security when implemented correctly, it also presents a single point of failure if compromised, making robust security measures for the SSO system critical.\n\nLearn more from the following resources:",
|
||||
"description": "**SSL (Secure Sockets Layer)** is a cryptographic protocol used to secure communications by encrypting data transmitted between clients and servers. SSL establishes a secure connection through a process known as the handshake, during which the client and server agree on cryptographic algorithms, exchange keys, and authenticate the server with a digital certificate. SSL’s security is considered weaker compared to its successor, TLS, due to vulnerabilities in its older encryption methods and lack of modern cryptographic techniques.\n\n**TLS (Transport Layer Security)** improves upon SSL by using stronger encryption algorithms, more secure key exchange mechanisms, and enhanced certificate validation. Like SSL, TLS begins with a handshake where the client and server agree on a protocol version and cipher suite, exchange keys, and verify certificates. However, TLS incorporates additional features like Perfect Forward Secrecy (PFS) and more secure hashing algorithms, making it significantly more secure than SSL for modern communications.\n\nLearn more from the following resources:",
|
||||
"links": [
|
||||
{
|
||||
"title": "What’s the Difference Between SSL and TLS?",
|
||||
|
||||
@@ -117,6 +117,11 @@
|
||||
"title": "Rust",
|
||||
"description": "Rust is a systems programming language that focuses on safety, concurrency, and performance. Developed by Mozilla Research, Rust combines low-level control over system resources with high-level abstractions, preventing common programming errors like null or dangling pointer references at compile-time. It features a borrow checker for managing memory and preventing data races, making it ideal for building reliable and efficient software. Rust's zero-cost abstractions, pattern matching, and trait-based generics offer powerful tools for expressing complex ideas clearly. While primarily used for systems programming, web assembly, and game development, Rust's growing ecosystem supports various domains. Its emphasis on memory safety without sacrificing performance makes it increasingly popular for developing secure, high-performance applications in fields ranging from operating systems to web services.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Rust by Practice - Interactive Rust Course",
|
||||
"url": "https://practice.course.rs/",
|
||||
"type": "course"
|
||||
},
|
||||
{
|
||||
"title": "The Rust Programming Language - online book",
|
||||
"url": "https://doc.rust-lang.org/book/",
|
||||
@@ -189,9 +194,14 @@
|
||||
"title": "Operating System",
|
||||
"description": "Operating systems (OS) are fundamental software that manage computer hardware and software resources, providing common services for computer programs. They act as an intermediary between applications and hardware, handling tasks like memory management, process scheduling, file system management, and device control. Common desktop operating systems include Microsoft Windows, macOS, and various Linux distributions. Mobile devices typically run iOS or Android. Server environments often use Linux distributions like Ubuntu Server, Red Hat Enterprise Linux, or Windows Server. Each OS type offers distinct features, user interfaces, and compatibility with different software and hardware. Operating systems play a crucial role in system security, performance optimization, and providing a consistent user experience across diverse computing devices and environments.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Operating Systems - Wiki",
|
||||
"url": "https://en.wikipedia.org/wiki/Operating_system",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "All you need to know about OS.",
|
||||
"url": "https://www.javatpoint.com/os-tutorial",
|
||||
"url": "https://www.javatpoint.com/operating-system",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
@@ -205,7 +215,7 @@
|
||||
"type": "video"
|
||||
},
|
||||
{
|
||||
"title": "Operating Systems!",
|
||||
"title": "Operating Systems",
|
||||
"url": "https://www.youtube.com/watch?v=vBURTt97EkA&list=PLBlnK6fEyqRiVhbXDGLXDk_OQAeuVcp2O",
|
||||
"type": "video"
|
||||
}
|
||||
@@ -636,6 +646,11 @@
|
||||
"title": "Git",
|
||||
"description": "Git is a distributed version control system designed to track changes in source code during software development. It allows multiple developers to work on the same project simultaneously, maintaining a complete history of modifications. Git features local repositories on each developer's machine, enabling offline work and fast operations. It supports non-linear development through branching and merging, facilitating parallel work streams. Git's distributed nature enhances collaboration, backup, and experimentation. Key concepts include commits, branches, merges, and remote repositories. With its speed, flexibility, and robust branching and merging capabilities, Git has become the standard for version control in modern software development, powering platforms like GitHub and GitLab.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Git by Example - Learn Version Control with Bite-sized Lessons",
|
||||
"url": "https://antonz.org/git-by-example/",
|
||||
"type": "course"
|
||||
},
|
||||
{
|
||||
"title": "Learn Git & GitHub",
|
||||
"url": "https://roadmap.sh/git-github",
|
||||
|
||||
@@ -1,13 +1,29 @@
|
||||
{
|
||||
"VlNNwIEDWqQXtqkHWJYzC": {
|
||||
"title": "Internet",
|
||||
"description": "The Internet is a global network of interconnected computer networks that use the Internet Protocol Suite (TCP/IP) to communicate. It enables the exchange of data, information, and services across the world, connecting billions of devices and users. The Internet has revolutionized communication, commerce, education, and entertainment, becoming an integral part of modern society. It supports various applications and services, from web browsing and instant messaging to streaming media and online gaming. While offering unprecedented access to information and connectivity, the Internet also raises concerns about privacy, security, and digital divide issues.",
|
||||
"links": []
|
||||
"description": "The Internet is a global network of interconnected computer networks that use the Internet Protocol Suite (TCP/IP) to communicate. It enables the exchange of data, information, and services across the world, connecting billions of devices and users. The Internet has revolutionized communication, commerce, education, and entertainment, becoming an integral part of modern society. It supports various applications and services, from web browsing and instant messaging to streaming media and online gaming. While offering unprecedented access to information and connectivity, the Internet also raises concerns about privacy, security, and digital divide issues.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Introduction to Internet",
|
||||
"url": "https://roadmap.sh/guides/what-is-internet",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "The Internet",
|
||||
"url": "https://en.wikipedia.org/wiki/Internet",
|
||||
"type": "article"
|
||||
}
|
||||
]
|
||||
},
|
||||
"yCnn-NfSxIybUQ2iTuUGq": {
|
||||
"title": "How does the internet work?",
|
||||
"description": "The Internet works through a global network of interconnected computers and servers, communicating via standardized protocols. Data is broken into packets and routed through various network nodes using the Internet Protocol (IP). These packets travel across different physical infrastructures, including fiber optic cables, satellites, and wireless networks. The Transmission Control Protocol (TCP) ensures reliable delivery and reassembly of packets at their destination. Domain Name System (DNS) servers translate human-readable website names into IP addresses. When you access a website, your device sends a request to the appropriate server, which responds with the requested data. This process, facilitated by routers, switches, and other networking equipment, enables the seamless exchange of information across vast distances, forming the backbone of our digital communications.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Introduction to Internet",
|
||||
"url": "https://roadmap.sh/guides/what-is-internet",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "How does the Internet Work?",
|
||||
"url": "https://cs.fyi/guide/how-does-internet-work",
|
||||
@@ -18,11 +34,6 @@
|
||||
"url": "https://developer.mozilla.org/en-US/docs/Learn/Common_questions/How_does_the_Internet_work",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "Introduction to Internet",
|
||||
"url": "/guides/what-is-internet",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "How the Internet Works in 5 Minutes",
|
||||
"url": "https://www.youtube.com/watch?v=7_LPdttKXPc",
|
||||
@@ -87,7 +98,7 @@
|
||||
"description": "Web hosting is a service that allows individuals and organizations to make their websites accessible on the internet. It involves storing website files on powerful computers called servers, which are connected to a high-speed network. When users enter a domain name in their browser, the web host serves the website's content. Hosting services range from shared hosting (where multiple websites share server resources) to dedicated hosting (where a server is exclusively used by one client). Other types include VPS (Virtual Private Server) hosting, cloud hosting, and managed WordPress hosting. Web hosts typically provide additional services such as email hosting, domain registration, SSL certificates, and technical support. The choice of web hosting impacts a website's performance, security, and scalability, making it a crucial decision for any online presence.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "What is web hosting?",
|
||||
"title": "What is Web Hosting?",
|
||||
"url": "https://www.namecheap.com/hosting/what-is-web-hosting-definition/",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -209,7 +220,7 @@
|
||||
},
|
||||
"z8-556o-PaHXjlytrawaF": {
|
||||
"title": "Writing Semantic HTML",
|
||||
"description": "Semantic HTML refers to the use of HTML markup to reinforce the meaning of web content, rather than merely defining its appearance. It involves using HTML elements that clearly describe their purpose and content. Semantic HTML improves accessibility, SEO, and code readability. Key elements include `<header>`, `<nav>`, `<main>`, `<article>`, `<section>`, `<aside>`, and `<footer>`. It also encompasses using appropriate heading levels (`<h1>` to `<h6>`), lists (`<ul>`, `<ol>`, `<li>`), and data tables (`<table>`, `<th>`, `<td>`). Semantic HTML helps screen readers interpret page content, enables better browser rendering, and provides clearer structure for developers. By using semantically correct elements, developers create more meaningful, accessible, and maintainable web documents that are easier for both humans and machines to understand and process.\n\nVisit the following resources to learn more:",
|
||||
"description": "Semantic HTML refers to the use of HTML markup to reinforce the meaning of web content, rather than merely defining its appearance. It involves using HTML elements that clearly describe their purpose and content. Semantic HTML improves accessibility, SEO, and code readability. Key elements include `<header>`, `<nav>`, `<main>`, `<article>`, `<section>`, `<aside>`, and `<footer>`. It also encompasses using appropriate heading levels (`<h1>` to `<h6>`), lists (`<ul>`, `<ol>`,`<li>`), and data tables (`<table>`, `<th>`, `<td>`). Semantic HTML helps screen readers interpret page content, enables better browser rendering, and provides clearer structure for developers. By using semantically correct elements, developers create more meaningful, accessible, and maintainable web documents that are easier for both humans and machines to understand and process.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Guide to Writing Semantic HTML",
|
||||
@@ -227,7 +238,7 @@
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "Why & When to Use Semantic HTML Elements over Divs",
|
||||
"title": "Why & When to Use Semantic HTML Elements over Div(s)",
|
||||
"url": "https://www.youtube.com/watch?v=bOUhq46fd5g",
|
||||
"type": "video"
|
||||
}
|
||||
@@ -515,7 +526,7 @@
|
||||
"links": [
|
||||
{
|
||||
"title": "Learn Git & Github",
|
||||
"url": "/git-github",
|
||||
"url": "https://roadmap.sh/git-github",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
@@ -530,7 +541,7 @@
|
||||
},
|
||||
{
|
||||
"title": "GitLab Website",
|
||||
"url": "https://gitlab.com",
|
||||
"url": "https://about.gitlab.com",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
@@ -545,8 +556,8 @@
|
||||
"description": "Version Control Systems (VCS) are tools that help developers track and manage changes to code over time. They allow multiple people to work on a project simultaneously, maintaining a history of modifications. Git is the most popular VCS, known for its distributed nature and branching model. Other systems include Subversion (SVN) and Mercurial. VCS enables features like branching for parallel development, merging to combine changes, and reverting to previous states. They facilitate collaboration through remote repositories, pull requests, and code reviews. VCS also provides backup and recovery capabilities, conflict resolution, and the ability to tag specific points in history. By maintaining a detailed record of changes and supporting non-linear development, VCS has become an essential tool in modern software development, enhancing productivity, code quality, and team collaboration.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Learn Git and GitHub",
|
||||
"url": "/git-github",
|
||||
"title": "Learn Git & Github",
|
||||
"url": "https://roadmap.sh/git-github",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
@@ -571,8 +582,8 @@
|
||||
"description": "Git is a distributed version control system designed to handle projects of any size with speed and efficiency. Created by Linus Torvalds in 2005, Git tracks changes in source code during software development, allowing multiple developers to work together on non-linear development. It provides strong support for branching, merging, and distributed development workflows. Git maintains a complete history of all changes, enabling easy rollbacks and comparisons between versions. Its distributed nature means each developer has a full copy of the repository, allowing for offline work and backup. Git's speed, flexibility, and robust branching and merging capabilities have made it the most widely used version control system in software development, particularly for open-source projects.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Learn Git & GitHub",
|
||||
"url": "/git-github",
|
||||
"title": "Visit Dedicated Git & Github Roadmap",
|
||||
"url": "https://roadmap.sh/git-github",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
@@ -602,8 +613,8 @@
|
||||
"description": "Package managers are tools that automate the process of installing, updating, configuring, and removing software packages in a consistent manner. They handle dependency resolution, version management, and package distribution for programming languages and operating systems. Popular package managers include npm for JavaScript, pip for Python, and apt for Debian-based Linux distributions. These tools maintain a centralized repository of packages, allowing developers to easily share and reuse code. Package managers simplify project setup, ensure consistency across development environments, and help manage complex dependency trees. They play a crucial role in modern software development by streamlining workflow, enhancing collaboration, and improving code reusability.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "An Absolute Beginners Guide to Using npm",
|
||||
"url": "https://nodesource.com/blog/an-absolute-beginners-guide-to-using-npm/",
|
||||
"title": "PNPM: The Faster, More Performant NPM",
|
||||
"url": "https://pnpm.io/",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
@@ -611,6 +622,11 @@
|
||||
"url": "https://yarnpkg.com/en/docs/getting-started",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "An Absolute Beginners Guide to Using npm",
|
||||
"url": "https://nodesource.com/blog/an-absolute-beginners-guide-to-using-npm/",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "NPM Crash Course",
|
||||
"url": "https://www.youtube.com/watch?v=jHDhaSSKmB0",
|
||||
@@ -628,8 +644,8 @@
|
||||
"description": "GitHub has become a central hub for open-source projects and is widely used by developers, companies, and organizations for both private and public repositories. It was acquired by Microsoft in 2018 but continues to operate as a relatively independent entity. GitHub's popularity has made it an essential tool in modern software development workflows and a key platform for showcasing coding projects and contributing to open-source software.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Learn Git & GitHub",
|
||||
"url": "/git-github",
|
||||
"title": "Visit Dedicated Git & Github Roadmap",
|
||||
"url": "https://roadmap.sh/git-github",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
@@ -659,13 +675,13 @@
|
||||
"description": "GitLab is a web-based DevOps platform that provides a complete solution for the software development lifecycle. GitLab emphasizes an all-in-one approach, integrating various development tools into a single platform. It's available as both a cloud-hosted service and a self-hosted solution, giving organizations flexibility in deployment. GitLab's focus on DevOps practices and its comprehensive feature set make it popular among enterprises and teams seeking a unified platform for their entire development workflow. While similar to GitHub in many respects, GitLab's integrated CI/CD capabilities and self-hosting options are often cited as key differentiators.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "GitLab Documentation",
|
||||
"url": "https://docs.gitlab.com/",
|
||||
"title": "GitLab Website",
|
||||
"url": "https://gitlab.com/",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "GitLab Website",
|
||||
"url": "https://gitlab.com/",
|
||||
"title": "GitLab Documentation",
|
||||
"url": "https://docs.gitlab.com/",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
@@ -727,7 +743,7 @@
|
||||
"description": "pnpm (performant npm) is a fast, disk-space efficient package manager for JavaScript and Node.js projects. It addresses inefficiencies in npm and Yarn by using a unique approach to storing and linking dependencies. pnpm creates a single, global store for all packages and uses hard links to reference them in project node\\_modules, significantly reducing disk space usage and installation time. It strictly adheres to package.json specifications, ensuring consistent installs across environments. pnpm offers features like workspace support for monorepos, side-by-side versioning, and improved security through better isolation of dependencies. While less widely adopted than npm or Yarn, pnpm's performance benefits and efficient disk usage are attracting increasing attention in the JavaScript community.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Official Website",
|
||||
"title": "PNPM Website",
|
||||
"url": "https://pnpm.io",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -752,6 +768,11 @@
|
||||
"url": "https://github.com/workshopper/how-to-npm",
|
||||
"type": "opensource"
|
||||
},
|
||||
{
|
||||
"title": "NPM Website",
|
||||
"url": "https://www.npmjs.com/https://www.npmjs.com/",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "Modern JavaScript for Dinosaurs",
|
||||
"url": "https://peterxjang.com/blog/modern-javascript-explained-for-dinosaurs.html",
|
||||
@@ -774,12 +795,12 @@
|
||||
"description": "Web frameworks are designed to write web applications. Frameworks are collections of libraries that aid in the development of a software product or website. Frameworks for web application development are collections of various tools. Frameworks vary in their capabilities and functions, depending on the tasks set. They define the structure, establish the rules, and provide the development tools required.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "15 crazy new JS framework features you don’t know yet",
|
||||
"title": "15 Crazy New JS Framework Features You Don’t Know Yet",
|
||||
"url": "https://www.youtube.com/watch?v=466U-2D86bc",
|
||||
"type": "video"
|
||||
},
|
||||
{
|
||||
"title": "Which JS Framework is best?",
|
||||
"title": "Which JS Framework is Best?",
|
||||
"url": "https://www.youtube.com/watch?v=cuHDQhDhvPE",
|
||||
"type": "video"
|
||||
}
|
||||
@@ -795,7 +816,7 @@
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "Official - Getting started with Angular",
|
||||
"title": "Getting started with Angular",
|
||||
"url": "https://angular.io/start",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -899,7 +920,7 @@
|
||||
"description": "SolidJS is a declarative, efficient, and flexible JavaScript library for building user interfaces. It uses a fine-grained reactivity system that updates only what changes, resulting in high performance. SolidJS compiles templates to real DOM nodes and updates them in-place, avoiding the overhead of a virtual DOM. It offers a syntax similar to React, making it familiar to many developers, but with a different underlying mechanism. SolidJS supports JSX, provides built-in state management, and emphasizes composition over inheritance. Its small size and lack of runtime overhead make it particularly suitable for applications requiring high performance. While newer compared to some frameworks, SolidJS is gaining popularity for its simplicity, performance, and developer-friendly approach to reactive programming.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Official Website - SolidJS",
|
||||
"title": "SolidJS Website",
|
||||
"url": "https://www.solidjs.com/",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -930,7 +951,7 @@
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "Qwik… the world's first O(1) JavaScript framework?",
|
||||
"title": "Qwik - The world's first O(1) JavaScript Framework?",
|
||||
"url": "https://www.youtube.com/watch?v=x2eF3YLiNhY",
|
||||
"type": "video"
|
||||
}
|
||||
@@ -938,8 +959,24 @@
|
||||
},
|
||||
"XDTD8el6OwuQ55wC-X4iV": {
|
||||
"title": "Writing CSS",
|
||||
"description": "Modern CSS emphasizes responsive design with techniques like media queries and fluid typography. It also includes methodologies like CSS-in-JS and utility-first frameworks (e.g., Tailwind CSS). Features such as CSS Logical Properties improve internationalization, while CSS Houdini allows for more powerful custom styling. Modern CSS focuses on performance optimization, maintainability, and creating adaptive, accessible designs across various devices and screen sizes, significantly improving the capabilities and efficiency of web styling.",
|
||||
"links": []
|
||||
"description": "Modern CSS emphasizes responsive design with techniques like media queries and fluid typography. It also includes methodologies like CSS-in-JS and utility-first frameworks (e.g., Tailwind CSS). Features such as CSS Logical Properties improve internationalization, while CSS Houdini allows for more powerful custom styling. Modern CSS focuses on performance optimization, maintainability, and creating adaptive, accessible designs across various devices and screen sizes, significantly improving the capabilities and efficiency of web styling.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Modern CSS: A Comprehensive Guide",
|
||||
"url": "https://moderncss.dev/",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "CSS-Tricks: Modern CSS",
|
||||
"url": "https://css-tricks.com/modern-css/",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "Explore top posts about CSS",
|
||||
"url": "https://app.daily.dev/tags/css?ref=roadmapsh",
|
||||
"type": "article"
|
||||
}
|
||||
]
|
||||
},
|
||||
"eghnfG4p7i-EDWfp3CQXC": {
|
||||
"title": "Tailwind",
|
||||
@@ -955,6 +992,11 @@
|
||||
"url": "https://tailwindcss.com",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "Online Playground",
|
||||
"url": "https://play.tailwindcss.com",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "Explore top posts about CSS",
|
||||
"url": "https://app.daily.dev/tags/css?ref=roadmapsh",
|
||||
@@ -997,6 +1039,26 @@
|
||||
"title": "CSS Preprocessors",
|
||||
"description": "CSS preprocessors are scripting languages that extend the capabilities of standard CSS, allowing developers to write more maintainable and efficient stylesheets. They introduce features like variables, nesting, mixins, functions, and mathematical operations, which are then compiled into standard CSS. Popular preprocessors include Sass, Less, and Stylus. These tools enable developers to organize styles more logically, reuse code more effectively, and create complex CSS structures with less repetition. Preprocessors often support features like partials for modular stylesheets and built-in color manipulation functions. By using a preprocessor, developers can write more DRY (Don't Repeat Yourself) code, manage large-scale projects more easily, and potentially improve the performance of their stylesheets through optimization during the compilation process.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Sass Website",
|
||||
"url": "https://sass-lang.com/",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "Less Website",
|
||||
"url": "https://lesscss.org/",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "Stylus Website",
|
||||
"url": "https://stylus-lang.com/",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "PostCSS Website",
|
||||
"url": "https://postcss.org/",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "Explore top posts about CSS",
|
||||
"url": "https://app.daily.dev/tags/css?ref=roadmapsh",
|
||||
@@ -1051,7 +1113,7 @@
|
||||
"description": "PostCSS is a tool for transforming CSS with JavaScript plugins. It allows developers to enhance their CSS workflow by automating repetitive tasks, adding vendor prefixes, and implementing future CSS features. PostCSS works as a preprocessor, but unlike Sass or Less, it's highly modular and customizable. Users can choose from a wide range of plugins or create their own to suit specific needs. Popular plugins include Autoprefixer for adding vendor prefixes, cssnext for using future CSS features, and cssnano for minification. PostCSS integrates well with various build tools and can be used alongside traditional CSS preprocessors. Its flexibility and performance make it a popular choice for optimizing CSS in modern web development workflows.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Official Website",
|
||||
"title": "PostCSS Website",
|
||||
"url": "https://postcss.org/",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -1135,7 +1197,7 @@
|
||||
"description": "Parcel is a zero-configuration web application bundler that simplifies the process of building and deploying web projects. It supports multiple programming languages and file types out of the box, including JavaScript, CSS, HTML, and various image formats. Parcel automatically analyzes dependencies, transforms code, and optimizes assets without requiring a complex configuration file. It offers features like hot module replacement, code splitting, and tree shaking by default. Parcel's main selling point is its ease of use and fast build times, achieved through parallel processing and caching. While it may lack some advanced features of more established bundlers like Webpack, Parcel's simplicity and performance make it an attractive option for rapid prototyping and smaller projects.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Official Website and Docs",
|
||||
"title": "Parcel Website",
|
||||
"url": "https://parceljs.org/plugin-system/bundler/",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -1156,7 +1218,7 @@
|
||||
"description": "Rollup is a module bundler for JavaScript that compiles small pieces of code into larger, more complex structures. It specializes in producing smaller, more efficient bundles for ES modules. Rollup excels at tree-shaking, eliminating unused code for leaner outputs. It's particularly well-suited for libraries and applications using the ES module format. Rollup supports various output formats, including UMD and CommonJS, making it versatile for different deployment scenarios. While it may require more configuration than some alternatives, Rollup's focus on ES modules and its efficient bundling make it popular for projects prioritizing small bundle sizes and modern JavaScript practices.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Official Website and Docs",
|
||||
"title": "Rollup Website and Docs",
|
||||
"url": "https://rollupjs.org/",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -1177,7 +1239,7 @@
|
||||
"description": "Webpack is a popular open-source JavaScript module bundler that transforms, bundles, or packages resources for the web. It takes modules with dependencies and generates static assets representing those modules. Webpack can handle not just JavaScript, but also other assets like CSS, images, and fonts. It uses loaders to preprocess files and plugins to perform a wider range of tasks like bundle optimization. Webpack's key features include code splitting, lazy loading, and a rich ecosystem of extensions. It supports hot module replacement for faster development and tree shaking to eliminate unused code. While it has a steeper learning curve compared to some alternatives, Webpack's flexibility and powerful features make it a standard tool in many modern JavaScript development workflows, especially for complex applications.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Webpack Official Website",
|
||||
"title": "Webpack Website",
|
||||
"url": "https://webpack.js.org/",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -1203,7 +1265,7 @@
|
||||
"type": "course"
|
||||
},
|
||||
{
|
||||
"title": "Esbuild Official Website",
|
||||
"title": "Esbuild Website",
|
||||
"url": "https://esbuild.github.io/",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -1224,10 +1286,15 @@
|
||||
"description": "Vite is a modern build tool and development server designed for fast and lean development of web applications. Created by Evan You, the author of Vue.js, Vite leverages native ES modules in the browser to enable near-instantaneous server start and lightning-fast hot module replacement (HMR). It supports various frameworks including Vue, React, and Svelte out of the box. Vite uses Rollup for production builds, resulting in highly optimized bundles. It offers features like CSS pre-processor support, TypeScript integration, and plugin extensibility. Vite's architecture, which separates dev and build concerns, allows for faster development cycles and improved developer experience, particularly for large-scale projects where traditional bundlers might struggle with performance.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Vite Website",
|
||||
"title": "Vite - The Build Tool for the Web",
|
||||
"url": "https://vitejs.dev",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "Vite Documentation",
|
||||
"url": "https://vitejs.dev/guide/",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "Explore top posts about Vite",
|
||||
"url": "https://app.daily.dev/tags/vite?ref=roadmapsh",
|
||||
@@ -1271,7 +1338,7 @@
|
||||
"description": "ESLint is a popular open-source static code analysis tool for identifying and fixing problems in JavaScript code. It enforces coding standards, detects potential errors, and promotes consistent coding practices across projects. ESLint is highly configurable, allowing developers to define custom rules or use preset configurations. It supports modern JavaScript features, JSX, and TypeScript through plugins. ESLint can be integrated into development workflows through IDE extensions, build processes, or git hooks, providing real-time feedback to developers. Its ability to automatically fix many issues it detects makes it a valuable tool for maintaining code quality and consistency, especially in large teams or projects. ESLint's extensibility and wide adoption in the JavaScript ecosystem have made it a standard tool in modern JavaScript development.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "ESLint Official Website",
|
||||
"title": "ESLint Website",
|
||||
"url": "https://eslint.org/",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -1297,12 +1364,7 @@
|
||||
"description": "Testing apps involves systematically evaluating software to ensure it meets requirements, functions correctly, and maintains quality. Key testing types include:\n\n1. Unit testing: Verifying individual components or functions\n2. Integration testing: Checking interactions between different parts of the app\n3. Functional testing: Ensuring the app meets specified requirements\n4. UI/UX testing: Evaluating the user interface and experience\n5. Performance testing: Assessing app speed, responsiveness, and stability\n6. Security testing: Identifying vulnerabilities and ensuring data protection\n7. Accessibility testing: Verifying usability for people with disabilities\n8. Compatibility testing: Checking functionality across different devices and platforms\n\nModern testing often incorporates automated testing tools and continuous integration/continuous deployment (CI/CD) pipelines. Test-driven development (TDD) and behavior-driven development (BDD) are popular methodologies that emphasize writing tests before or alongside code. Effective testing strategies help identify bugs early, improve code quality, and ensure a reliable user experience.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "A comprehensive dive into software testing.",
|
||||
"url": "https://www.softwaretestingmaterial.com/software-testing/",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "The different types of software tests",
|
||||
"title": "The Different Types of Software Tests",
|
||||
"url": "https://www.atlassian.com/continuous-delivery/software-testing/types-of-software-testing",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -1312,7 +1374,7 @@
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "How to test web applications - dotJS 2024",
|
||||
"title": "How to Test Web Applications - dotJS 2024",
|
||||
"url": "https://www.youtube.com/watch?v=l3qjQpYBR8c",
|
||||
"type": "video"
|
||||
}
|
||||
@@ -1323,12 +1385,17 @@
|
||||
"description": "Vitest is a fast and lightweight testing framework for JavaScript and TypeScript projects, designed as a Vite-native alternative to Jest. It leverages Vite's transformation pipeline and config resolution, offering near-instant test execution and hot module replacement (HMR) for tests. Vitest provides a Jest-compatible API, making migration easier for projects already using Jest. It supports features like snapshot testing, mocking, and code coverage out of the box. Vitest's architecture allows for parallel test execution and watch mode, significantly speeding up the testing process. Its integration with Vite's ecosystem makes it particularly well-suited for projects already using Vite, but it can be used in any JavaScript project. Vitest's focus on speed and developer experience has made it an increasingly popular choice for modern web development workflows.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Vitest Website",
|
||||
"title": "Vitest - Next Generation Testing Framework",
|
||||
"url": "https://vitest.dev/",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "Vitets simplified",
|
||||
"title": "Vitest Documentation",
|
||||
"url": "https://vitest.dev/guide/",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "Vitest Simplified",
|
||||
"url": "https://www.youtube.com/watch?v=snCLQmINqCU",
|
||||
"type": "video"
|
||||
}
|
||||
@@ -1381,13 +1448,13 @@
|
||||
"description": "Cypress framework is a JavaScript-based end-to-end testing framework built on top of Mocha – a feature-rich JavaScript test framework running on and in the browser, making asynchronous testing simple and convenient. It also uses a BDD/TDD assertion library and a browser to pair with any JavaScript testing framework.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Official Website",
|
||||
"title": "Cypress Website",
|
||||
"url": "https://www.cypress.io/",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "Official Documentation",
|
||||
"url": "https://docs.cypress.io/guides/overview/why-cypress#Other",
|
||||
"title": "Cypress Documentation",
|
||||
"url": "https://docs.cypress.io/",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
@@ -1606,15 +1673,31 @@
|
||||
},
|
||||
"hwPOGT0-duy3KfI8QaEwF": {
|
||||
"title": "Type Checkers",
|
||||
"description": "Type checkers are tools that analyze code to detect and prevent type-related errors without executing the program. They enforce type consistency, helping developers catch mistakes early in the development process. Popular type checkers include TypeScript for JavaScript, Flow for JavaScript, and mypy for Python. These tools add static typing to dynamically typed languages, offering benefits like improved code reliability, better documentation, and enhanced developer tooling support. Type checkers can infer types in many cases and allow for gradual adoption in existing projects. They help prevent common runtime errors, facilitate refactoring, and improve code maintainability. While adding some overhead to the development process, type checkers are widely adopted in large-scale applications for their ability to catch errors before runtime and improve overall code quality.",
|
||||
"links": []
|
||||
"description": "Type checkers are tools that analyze code to detect and prevent type-related errors without executing the program. They enforce type consistency, helping developers catch mistakes early in the development process. Popular type checkers include TypeScript for JavaScript, Flow for JavaScript, and mypy for Python. These tools add static typing to dynamically typed languages, offering benefits like improved code reliability, better documentation, and enhanced developer tooling support. Type checkers can infer types in many cases and allow for gradual adoption in existing projects. They help prevent common runtime errors, facilitate refactoring, and improve code maintainability. While adding some overhead to the development process, type checkers are widely adopted in large-scale applications for their ability to catch errors before runtime and improve overall code quality.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Flow - Static Type Checker for JavaScript",
|
||||
"url": "https://flow.org/",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "TypeScript",
|
||||
"url": "https://www.typescriptlang.org/",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "Mypy - Static Type Checker for Python",
|
||||
"url": "https://mypy.readthedocs.io/en/stable/",
|
||||
"type": "article"
|
||||
}
|
||||
]
|
||||
},
|
||||
"VxiQPgcYDFAT6WgSRWpIA": {
|
||||
"title": "Custom Elements",
|
||||
"description": "One of the key features of the Web Components standard is the ability to create custom elements that encapsulate your functionality on an HTML page, rather than having to make do with a long, nested batch of elements that together provide a custom page feature.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Using custom elements | MDN web docs",
|
||||
"title": "Using Custom Elements - MDN",
|
||||
"url": "https://developer.mozilla.org/en-US/docs/Web/Web_Components/Using_custom_elements",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -1635,12 +1718,12 @@
|
||||
"description": "The `<template>` HTML element is a mechanism for holding HTML that is not to be rendered immediately when a page is loaded but may be instantiated subsequently during runtime using JavaScript. Think of a template as a content fragment that is being stored for subsequent use in the document.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Using templates and slots | MDN web docs",
|
||||
"title": "Using Templates and Slots - MDN",
|
||||
"url": "https://developer.mozilla.org/en-US/docs/Web/Web_Components/Using_templates_and_slots",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "HTML Template tag",
|
||||
"title": "HTML Template Tag",
|
||||
"url": "https://www.w3schools.com/tags/tag_template.asp",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -1678,14 +1761,19 @@
|
||||
"links": [
|
||||
{
|
||||
"title": "TypeScript Roadmap",
|
||||
"url": "/typescript",
|
||||
"url": "https://roadmap.sh/typescript",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "Official Website",
|
||||
"title": "TypeScript Website",
|
||||
"url": "https://www.typescriptlang.org/",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "TypeScript Playground",
|
||||
"url": "https://www.typescriptlang.org/play",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "The TypeScript Handbook",
|
||||
"url": "https://www.typescriptlang.org/docs/handbook/intro.html",
|
||||
@@ -1838,17 +1926,17 @@
|
||||
"description": "React Router is a popular routing library for React applications that enables dynamic, client-side routing. It allows developers to create single-page applications with multiple views, managing the URL and history of the browser while keeping the UI in sync with the URL. React Router provides a declarative way to define routes, supporting nested routes, route parameters, and programmatic navigation. It offers components like BrowserRouter, Route, and Link to handle routing logic and navigation. The library also supports features such as lazy loading of components, route guards, and custom history management. React Router's integration with React's component model makes it a go-to solution for managing navigation and creating complex, multi-view applications in React ecosystems.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Official Website",
|
||||
"title": "React Router Website",
|
||||
"url": "https://reactrouter.com/en/main",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "A complete guide to routing in react",
|
||||
"title": "A Complete Guide to Routing in React",
|
||||
"url": "https://hygraph.com/blog/routing-in-react",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "React router - Complete tutorial",
|
||||
"title": "React Router - Complete tutorial",
|
||||
"url": "https://www.youtube.com/watch?v=oTIJunBa6MA",
|
||||
"type": "video"
|
||||
}
|
||||
@@ -1906,7 +1994,7 @@
|
||||
"description": "SvelteKit is a framework for building web applications using Svelte, a component-based JavaScript framework. It provides a full-stack development experience, handling both server-side and client-side rendering. SvelteKit offers features like file-based routing, code-splitting, and server-side rendering out of the box. It supports both static site generation and server-side rendering, allowing developers to choose the most appropriate approach for each page. SvelteKit emphasizes simplicity and performance, leveraging Svelte's compile-time approach to generate highly optimized JavaScript. It includes built-in development tools, easy deployment options, and integrates well with various backend services. SvelteKit's efficient development experience and flexibility make it an attractive option for building modern, performant web applications.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Svelte Kit Official Website",
|
||||
"title": "Svelte Kit Website",
|
||||
"url": "https://kit.svelte.dev/",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -1932,8 +2020,8 @@
|
||||
"description": "GraphQL is a query language and runtime for APIs, developed by Facebook. GraphQL's flexibility and efficiency make it popular for building complex applications, especially those with diverse client requirements. It's particularly useful for mobile applications where bandwidth efficiency is crucial. While it requires a paradigm shift from REST, many developers and organizations find GraphQL's benefits outweigh the learning curve, especially for large-scale or rapidly evolving APIs.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "GraphQL Roadmap",
|
||||
"url": "/graphql",
|
||||
"title": "visit Dedicated GraphQL Roadmap",
|
||||
"url": "https://roadmap.sh/graphql",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
@@ -1973,12 +2061,12 @@
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "Official Docs",
|
||||
"title": "Apollo Docs",
|
||||
"url": "https://www.apollographql.com/docs/",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "",
|
||||
"title": "Visit Dedicated GraphQL Roadmap",
|
||||
"url": "https://roadmap.sh/graphql",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -1999,7 +2087,7 @@
|
||||
"type": "opensource"
|
||||
},
|
||||
{
|
||||
"title": "Official Website",
|
||||
"title": "Relay Website",
|
||||
"url": "https://relay.dev/",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -2015,7 +2103,7 @@
|
||||
"description": "Static site generators (SSGs) are tools that create HTML websites from raw data and templates, producing pre-rendered pages at build time rather than at runtime. They combine the benefits of static websites (speed, security, simplicity) with the flexibility of dynamic sites. SSGs typically use markup languages like Markdown for content, templating engines for layouts, and generate a fully static website that can be hosted on simple web servers or content delivery networks. Popular SSGs include Jekyll, Hugo, Gatsby, and Eleventy. They're well-suited for blogs, documentation sites, and content-focused websites. SSGs offer advantages in performance, version control integration, and reduced server-side complexity, making them increasingly popular for a wide range of web projects.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "What is a static site generator?",
|
||||
"title": "What is a Static Site Generator?",
|
||||
"url": "https://www.cloudflare.com/learning/performance/static-site-generator/",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -2097,6 +2185,11 @@
|
||||
"url": "https://astro.build/",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "Getting Started with Astro",
|
||||
"url": "https://docs.astro.build/en/getting-started/",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "What is Astro?",
|
||||
"url": "https://www.contentful.com/blog/what-is-astro/",
|
||||
@@ -2130,7 +2223,7 @@
|
||||
"description": "Next.js is a React-based open-source framework for building server-side rendered and statically generated web applications. It provides features like automatic code splitting, optimized performance, and simplified routing out of the box. Next.js supports both static site generation (SSG) and server-side rendering (SSR), allowing developers to choose the most appropriate rendering method for each page. The framework offers built-in CSS support, API routes for backend functionality, and easy deployment options. Next.js is known for its developer-friendly experience, with features like hot module replacement and automatic prefetching. Its ability to create hybrid apps that combine static and server-rendered pages makes it popular for building scalable, SEO-friendly web applications.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Official Website",
|
||||
"title": "Next.js Website",
|
||||
"url": "https://nextjs.org/",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -2156,7 +2249,7 @@
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "MDN Web Docs: Progressive Web Apps ",
|
||||
"title": "MDN - Progressive Web Apps",
|
||||
"url": "https://developer.mozilla.org/en-US/docs/Web/Progressive_web_apps/",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -2208,12 +2301,12 @@
|
||||
"description": "React Native is an open-source mobile application development framework created by Facebook. It allows developers to build native mobile apps for iOS and Android using JavaScript and React. React Native translates JavaScript code into native components, providing near-native performance and a genuine native user interface. It enables code reuse across platforms, speeding up development and reducing costs. The framework offers hot reloading for quick iterations, access to native APIs, and a large ecosystem of third-party plugins. React Native's \"learn once, write anywhere\" philosophy and its ability to bridge web and mobile development make it popular for creating cross-platform mobile applications, especially among teams already familiar with React for web development.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "React Native Roadmap",
|
||||
"url": "/react-native",
|
||||
"title": "Visit Dedicated React Roadmap",
|
||||
"url": "https://roadmap.sh/react-native",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "Official Website",
|
||||
"title": "React Native Website",
|
||||
"url": "https://reactnative.dev/",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -2270,12 +2363,12 @@
|
||||
"type": "opensource"
|
||||
},
|
||||
{
|
||||
"title": "Official Website",
|
||||
"title": "Ionic Framework Website",
|
||||
"url": "https://ionicframework.com/",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "Ionic 8 Announcment",
|
||||
"title": "Ionic 8 Announcement",
|
||||
"url": "https://ionic.io/blog/ionic-8-is-here",
|
||||
"type": "article"
|
||||
},
|
||||
@@ -2288,8 +2381,24 @@
|
||||
},
|
||||
"KMA7NkxFbPoUDtFnGBFnj": {
|
||||
"title": "Desktop Apps",
|
||||
"description": "Desktop applications applications typically use frameworks like Electron, NW.js (Node-WebKit), or Tauri, which combine a JavaScript runtime with a native GUI toolkit. This approach allows developers to use their web development skills to create cross-platform desktop apps. Electron, developed by GitHub, is particularly popular, powering applications like Visual Studio Code, Atom, and Discord. These frameworks provide APIs to access native system features, enabling JavaScript to interact with the file system, system tray, and other OS-specific functionalities. While offering rapid development and cross-platform compatibility, JavaScript desktop apps can face challenges in terms of performance and resource usage compared to traditional native applications. However, they benefit from the vast ecosystem of JavaScript libraries and tools, making them an attractive option for many developers and businesses.",
|
||||
"links": []
|
||||
"description": "Desktop applications applications typically use frameworks like Electron, NW.js (Node-WebKit), or Tauri, which combine a JavaScript runtime with a native GUI toolkit. This approach allows developers to use their web development skills to create cross-platform desktop apps. Electron, developed by GitHub, is particularly popular, powering applications like Visual Studio Code, Atom, and Discord. These frameworks provide APIs to access native system features, enabling JavaScript to interact with the file system, system tray, and other OS-specific functionalities. While offering rapid development and cross-platform compatibility, JavaScript desktop apps can face challenges in terms of performance and resource usage compared to traditional native applications. However, they benefit from the vast ecosystem of JavaScript libraries and tools, making them an attractive option for many developers and businesses.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Electron Website",
|
||||
"url": "https://www.electronjs.org/",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "NW.js Website",
|
||||
"url": "https://nwjs.io/",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "Tauri Website",
|
||||
"url": "https://tauri.app/",
|
||||
"type": "article"
|
||||
}
|
||||
]
|
||||
},
|
||||
"mQHpSyMR4Rra4mqAslgiS": {
|
||||
"title": "Electron",
|
||||
@@ -2408,7 +2517,7 @@
|
||||
},
|
||||
"X0Y3-IpPiFUCsNDK4RFxw": {
|
||||
"title": "Performance Metrics",
|
||||
"description": "Web performance metrics are quantitative measures of the performance of a web page or application. They are used to assess the speed and efficiency of a web page, and they can help identify areas for improvement. Some common web performance metrics include:\n\n* Load time: The time it takes for a web page to fully load and become interactive.\n* First contentful paint (FCP): The time it takes for the first content to appear on the page.\n* Time to interactive (TTI): The time it takes for the page to become fully interactive.\n* First input delay (FID): The time it takes for the page to respond to the first user input.\n* Total blocking time (TBT): The time it takes for the page to become fully interactive, taking into account the time spent blocking the main thread.\n\nThere are many tools and techniques available for measuring web performance metrics, including browser dev tools, performance monitoring tools, and web performance APIs. By tracking these metrics and analyzing the results, web developers can identify areas for improvement and optimize the performance of their web pages.\n\nVisit the following resources to learn more:",
|
||||
"description": "Web performance metrics are quantitative measures of the performance of a web page or application. They are used to assess the speed and efficiency of a web page, and they can help identify areas for improvement. Some common web performance metrics include:\n\n* Load time: The time it takes for a web page to fully load and become interactive.\n* First contentful paint (FCP): The time it takes for the first content to appear on the page.\n* Time to interactive (TTI): The time it takes for the page to become fully interactive.\n* First input delay (FID): The time it takes for the page to respond to the first user input.\n* Total blocking time (TBT): The time it takes for the page to become fully interactive, taking into account the time spent blocking the main thread.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Web Performance Metrics - Google Developers",
|
||||
|
||||
@@ -267,6 +267,11 @@
|
||||
"url": "https://git-scm.com/book/en/v2/Git-Branching-Basic-Branching-and-Merging",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "Learn Git Branching",
|
||||
"url": "https://learngitbranching.js.org/",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "Git Branches Tutorial",
|
||||
"url": "https://www.youtube.com/watch?v=e2IbNHi4uCI",
|
||||
|
||||
@@ -112,8 +112,29 @@
|
||||
},
|
||||
"IduGSdUa2Fi7VFMLKgmsS": {
|
||||
"title": "iOS Architecture",
|
||||
"description": "",
|
||||
"links": []
|
||||
"description": "iOS architecture refers to the design principles and patterns used to build iOS applications. It focuses on how to structure code, manage data, and ensure a smooth user experience. These architectural patterns help developers create maintainable, scalable, and testable applications while following best practices specific to iOS development. Use cases of these architectures may vary according to the requirements of the application. For example, MVC is used for simple apps, while MVVM is considered when the app is large and complex.\n\nLearn more from the following resources:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Model-View-Controller Pattern in swift (MVC) for Beginners",
|
||||
"url": "https://ahmedaminhassanismail.medium.com/model-view-controller-pattern-in-swift-mvc-for-beginners-35db8d479832",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "MVVM in iOS Swift",
|
||||
"url": "https://medium.com/@zebayasmeen76/mvvm-in-ios-swift-6afb150458fd",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "MVC Design Pattern Explained with Example",
|
||||
"url": "https://youtu.be/sbYaWJEAYIY?t=2",
|
||||
"type": "video"
|
||||
},
|
||||
{
|
||||
"title": "MVVM Design Pattern Explained with Example",
|
||||
"url": "https://www.youtube.com/watch?v=sLHVxnRS75w",
|
||||
"type": "video"
|
||||
}
|
||||
]
|
||||
},
|
||||
"IdGdLNgJI3WmONEFsMq-d": {
|
||||
"title": "Core OS",
|
||||
|
||||
@@ -58,6 +58,11 @@
|
||||
"title": "Python for Beginners: Data Types",
|
||||
"url": "https://thenewstack.io/python-for-beginners-data-types/",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "Python Variables and Data Types",
|
||||
"url": "https://www.youtube.com/playlist?list=PLBlnK6fEyqRhN-sfWgCU1z_Qhakc1AGOn",
|
||||
"type": "video"
|
||||
}
|
||||
]
|
||||
},
|
||||
@@ -237,6 +242,11 @@
|
||||
"title": "Python \"for\" Loops (Definite Iteration)",
|
||||
"url": "https://realpython.com/python-for-loop/#the-guts-of-the-python-for-loop",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "Python For Loops",
|
||||
"url": "https://www.youtube.com/watch?v=KWgYha0clzw",
|
||||
"type": "video"
|
||||
}
|
||||
]
|
||||
},
|
||||
@@ -618,6 +628,11 @@
|
||||
"title": "OOP in Python One Shot",
|
||||
"url": "https://www.youtube.com/watch?v=Ej_02ICOIgs",
|
||||
"type": "video"
|
||||
},
|
||||
{
|
||||
"title": "Python OOP Tutorial",
|
||||
"url": "https://www.youtube.com/watch?v=IbMDCwVm63M",
|
||||
"type": "video"
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@@ -12,13 +12,30 @@
|
||||
},
|
||||
"M-EXrTDeAEMz_IkEi-ab4": {
|
||||
"title": "In-memory Data Structure Store",
|
||||
"description": "",
|
||||
"links": []
|
||||
"description": "An in-memory database is a purpose-built database that relies primarily on internal memory for data storage. It enables minimal response times by eliminating the need to access standard disk drives (SSDs). In-memory databases are ideal for applications that require microsecond response times or have large spikes in traffic, such as gaming leaderboards, session stores, and real-time data analytics. The terms main memory database (MMDB), in-memory database system (IMDS), and real-time database system (RTDB) also refer to in-memory databases.\n\nLearn more from the following resources:",
|
||||
"links": [
|
||||
{
|
||||
"title": "Amazon MemoryDB",
|
||||
"url": "https://aws.amazon.com/memorydb/",
|
||||
"type": "article"
|
||||
}
|
||||
]
|
||||
},
|
||||
"l2aXyO3STnhbFjvUXPpm2": {
|
||||
"title": "Key-value Database",
|
||||
"description": "",
|
||||
"links": []
|
||||
"description": "Key-value Database is a non-relational (NoSQL) database that stores data as a collection of key-value pairs. In this model, each piece of data is associated with a unique identifier (key) that is used to retrieve the corresponding value. This simple structure allows for high performance and scalability, making key-value databases ideal for certain use cases.\n\nVisit the following resources to learn more:",
|
||||
"links": [
|
||||
{
|
||||
"title": "What is a Key-Value Database?",
|
||||
"url": "https://redis.io/nosql/key-value-databases/",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
"title": "Key Value Store - System Design Interview Basics",
|
||||
"url": "https://www.youtube.com/watch?v=ozJHmm05EXM",
|
||||
"type": "video"
|
||||
}
|
||||
]
|
||||
},
|
||||
"eHuBz_zSZK3rubn7nkd7g": {
|
||||
"title": "Cache",
|
||||
|
||||
@@ -10,7 +10,7 @@
|
||||
"links": [
|
||||
{
|
||||
"title": "What is Software Architecture in Software Engineering?",
|
||||
"url": "https://webcache.googleusercontent.com/search?q=cache:ya4xvYaEckQJ:https://www.future-processing.com/blog/what-is-software-architecture-in-software-engineering/&cd=1&hl=es-419&ct=clnk&gl=ar",
|
||||
"url": "https://www.future-processing.com/blog/what-is-software-architecture-in-software-engineering/",
|
||||
"type": "article"
|
||||
},
|
||||
{
|
||||
|
||||
@@ -401,7 +401,7 @@
|
||||
},
|
||||
"HD1UGOidp7JGKdW6CEdQ_": {
|
||||
"title": "satisfies keyword",
|
||||
"description": "TypeScript developers are often faced with a dilemma: we want to ensure that some expression matches some type, but also want to keep the most specific type of that expression for inference purposes.\n\nFor example:\n\n // Each property can be a string or an RGB tuple.\n const palette = {\n red: [255, 0, 0],\n green: '#00ff00',\n bleu: [0, 0, 255],\n // ^^^^ sacrebleu - we've made a typo!\n };\n \n // We want to be able to use array methods on 'red'...\n const redComponent = palette.red.at(0);\n \n // or string methods on 'green'...\n const greenNormalized = palette.green.toUpperCase();\n \n\nNotice that we’ve written `bleu`, whereas we probably should have written `blue`. We could try to catch that `bleu` typo by using a type annotation on palette, but we’d lose the information about each property.\n\n type Colors = 'red' | 'green' | 'blue';\n type RGB = [red: number, green: number, blue: number];\n \n const palette: Record<Colors, string | RGB> = {\n red: [255, 0, 0],\n green: '#00ff00',\n bleu: [0, 0, 255],\n // ~~~~ The typo is now correctly detected\n };\n // But we now have an undesirable error here - 'palette.red' \"could\" be a string.\n const redComponent = palette.red.at(0);\n \n\nThe `satisfies` operator lets us validate that the type of an expression matches some type, without changing the resulting type of that expression. As an example, we could use `satisfies` to validate that all the properties of palette are compatible with `string | number[]`:\n\n type Colors = 'red' | 'green' | 'blue';\n type RGB = [red: number, green: number, blue: number];\n \n const palette = {\n red: [255, 0, 0],\n green: '#00ff00',\n bleu: [0, 0, 255],\n // ~~~~ The typo is now caught!\n } satisfies Record<Colors, string | RGB>;\n \n // Both of these methods are still accessible!\n const redComponent = palette.red.at(0);\n const greenNormalized = palette.green.toUpperCase();\n \n\nLearn more from the following resources:",
|
||||
"description": "The `satisfies` operator lets us validate that the type of an expression matches some type, without changing the resulting type of that expression.\n\nLearn more from the following resources:",
|
||||
"links": [
|
||||
{
|
||||
"title": "satisfies Keyword",
|
||||
|
||||
BIN
public/roadmaps/ai-engineer.png
Normal file
|
After Width: | Height: | Size: 478 KiB |
@@ -1,7 +1,7 @@
|
||||
import { type APIContext } from 'astro';
|
||||
import { api } from './api.ts';
|
||||
|
||||
export type LeadeboardUserDetails = {
|
||||
export type LeaderboardUserDetails = {
|
||||
id: string;
|
||||
name: string;
|
||||
avatar?: string;
|
||||
@@ -10,12 +10,19 @@ export type LeadeboardUserDetails = {
|
||||
|
||||
export type ListLeaderboardStatsResponse = {
|
||||
streaks: {
|
||||
active: LeadeboardUserDetails[];
|
||||
lifetime: LeadeboardUserDetails[];
|
||||
active: LeaderboardUserDetails[];
|
||||
lifetime: LeaderboardUserDetails[];
|
||||
};
|
||||
projectSubmissions: {
|
||||
currentMonth: LeadeboardUserDetails[];
|
||||
lifetime: LeadeboardUserDetails[];
|
||||
currentMonth: LeaderboardUserDetails[];
|
||||
lifetime: LeaderboardUserDetails[];
|
||||
};
|
||||
githubContributors: {
|
||||
currentMonth: LeaderboardUserDetails[];
|
||||
};
|
||||
referrals: {
|
||||
currentMonth: LeaderboardUserDetails[];
|
||||
lifetime: LeaderboardUserDetails[];
|
||||
};
|
||||
};
|
||||
|
||||
|
||||
@@ -2,7 +2,7 @@ import { useEffect, useRef, useState } from 'react';
|
||||
import { isLoggedIn } from '../../lib/jwt';
|
||||
import { httpGet } from '../../lib/http';
|
||||
import { useToast } from '../../hooks/use-toast';
|
||||
import { Flame, X, Zap, ZapOff } from 'lucide-react';
|
||||
import { Zap, ZapOff } from 'lucide-react';
|
||||
import { useOutsideClick } from '../../hooks/use-outside-click';
|
||||
import { StreakDay } from './StreakDay';
|
||||
import {
|
||||
@@ -11,15 +11,8 @@ import {
|
||||
} from '../../stores/page.ts';
|
||||
import { useStore } from '@nanostores/react';
|
||||
import { cn } from '../../lib/classname.ts';
|
||||
import { $accountStreak } from '../../stores/streak.ts';
|
||||
|
||||
type StreakResponse = {
|
||||
count: number;
|
||||
longestCount: number;
|
||||
previousCount?: number | null;
|
||||
firstVisitAt: Date;
|
||||
lastVisitAt: Date;
|
||||
};
|
||||
import { $accountStreak, type StreakResponse } from '../../stores/streak.ts';
|
||||
import { InviteFriends } from './InviteFriends.tsx';
|
||||
|
||||
type AccountStreakProps = {};
|
||||
|
||||
@@ -184,11 +177,10 @@ export function AccountStreak(props: AccountStreakProps) {
|
||||
<p className="-mt-[0px] mb-[1.5px] text-center text-xs tracking-wide text-slate-500">
|
||||
Visit every day to keep your streak going!
|
||||
</p>
|
||||
<p className='text-xs mt-1.5 text-center'>
|
||||
<a href="/leaderboard" className="text-purple-400 hover:underline underline-offset-2">
|
||||
See how you compare to others
|
||||
</a>
|
||||
</p>
|
||||
|
||||
<InviteFriends
|
||||
refByUserCount={accountStreak?.refByUserCount || 0}
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
|
||||
88
src/components/AccountStreak/InviteFriends.tsx
Normal file
@@ -0,0 +1,88 @@
|
||||
import { Copy, Heart } from 'lucide-react';
|
||||
import { useAuth } from '../../hooks/use-auth';
|
||||
import { useCopyText } from '../../hooks/use-copy-text';
|
||||
import { cn } from '../../lib/classname';
|
||||
import { CheckIcon } from '../ReactIcons/CheckIcon';
|
||||
import { TrophyEmoji } from '../ReactIcons/TrophyEmoji.tsx';
|
||||
|
||||
type InviteFriendsProps = {
|
||||
refByUserCount: number;
|
||||
};
|
||||
|
||||
export function InviteFriends(props: InviteFriendsProps) {
|
||||
const { refByUserCount } = props;
|
||||
|
||||
const user = useAuth();
|
||||
const { copyText, isCopied } = useCopyText();
|
||||
|
||||
const referralLink = new URL(
|
||||
`/signup?rc=${user?.id}`,
|
||||
import.meta.env.DEV ? 'http://localhost:3000' : 'https://roadmap.sh',
|
||||
).toString();
|
||||
|
||||
return (
|
||||
<div className="-mx-4 mt-6 flex flex-col border-t border-dashed border-t-slate-600 px-4 pt-5 text-center text-sm">
|
||||
<p className="text-slate-500">Invite people to join roadmap.sh</p>
|
||||
|
||||
<div className="flex flex-col items-center rounded-lg bg-slate-900/40 pb-4 pt-5 my-4">
|
||||
<p className="text-xs text-slate-500">
|
||||
{refByUserCount === 0 && <>You haven't invited anyone yet.</>}
|
||||
{refByUserCount > 0 && refByUserCount < 10 && (
|
||||
<>{refByUserCount} of 10 users joined</>
|
||||
)}
|
||||
</p>
|
||||
|
||||
{refByUserCount >= 10 && <>🎉 You've invited {refByUserCount} users</>}
|
||||
|
||||
<div className="my-3 flex flex-row items-center justify-center gap-1">
|
||||
{Array.from({ length: 10 }).map((_, index) => (
|
||||
<Heart
|
||||
key={index}
|
||||
className={cn(
|
||||
'size-[23px] fill-current',
|
||||
index < refByUserCount ? 'text-yellow-300' : 'text-slate-700',
|
||||
)}
|
||||
/>
|
||||
))}
|
||||
</div>
|
||||
<p className={'mb-3 text-xs text-slate-500'}>
|
||||
Share the link below with anyone you think would benefit from using
|
||||
roadmap.sh
|
||||
</p>
|
||||
<p className="text-slate-500">
|
||||
<button
|
||||
onClick={() => {
|
||||
copyText(referralLink);
|
||||
}}
|
||||
className={cn(
|
||||
'rounded-md hover:bg-slate-500/80 hover:text-slate-100 px-3 py-1 text-xs text-slate-300 bg-slate-600',
|
||||
{
|
||||
'bg-green-500 text-black hover:text-black hover:bg-green-500': isCopied,
|
||||
},
|
||||
)}
|
||||
>
|
||||
{!isCopied ? 'Copy Invite Link' : 'Invite Link Copied'}{' '}
|
||||
{!isCopied && (
|
||||
<Copy
|
||||
className="relative -top-[1.25px] ml-1.5 inline-block size-3"
|
||||
strokeWidth={3}
|
||||
/>
|
||||
)}
|
||||
{isCopied && (
|
||||
<CheckIcon additionalClasses="relative ml-1.5 -top-[1.25px] inline-block size-3" />
|
||||
)}
|
||||
</button>
|
||||
</p>
|
||||
</div>
|
||||
|
||||
<p className="text-center text-xs">
|
||||
<a
|
||||
href="/leaderboard"
|
||||
className="text-purple-400 underline-offset-2 hover:underline"
|
||||
>
|
||||
See how you rank on the leaderboard
|
||||
</a>
|
||||
</p>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
@@ -1,5 +1,7 @@
|
||||
import { type FormEvent, useState } from 'react';
|
||||
import { type FormEvent, useEffect, useState } from 'react';
|
||||
import { httpPost } from '../../lib/http';
|
||||
import { deleteUrlParam, getUrlParams } from '../../lib/browser';
|
||||
import { isLoggedIn, setAIReferralCode } from '../../lib/jwt';
|
||||
|
||||
type EmailSignupFormProps = {
|
||||
isDisabled?: boolean;
|
||||
@@ -9,6 +11,9 @@ type EmailSignupFormProps = {
|
||||
export function EmailSignupForm(props: EmailSignupFormProps) {
|
||||
const { isDisabled, setIsDisabled } = props;
|
||||
|
||||
const { rc: referralCode } = getUrlParams() as {
|
||||
rc?: string;
|
||||
};
|
||||
const [email, setEmail] = useState('');
|
||||
const [password, setPassword] = useState('');
|
||||
const [name, setName] = useState('');
|
||||
@@ -47,6 +52,16 @@ export function EmailSignupForm(props: EmailSignupFormProps) {
|
||||
)}`;
|
||||
};
|
||||
|
||||
useEffect(() => {
|
||||
if (!referralCode || isLoggedIn()) {
|
||||
deleteUrlParam('rc');
|
||||
return;
|
||||
}
|
||||
|
||||
setAIReferralCode(referralCode);
|
||||
deleteUrlParam('rc');
|
||||
}, []);
|
||||
|
||||
return (
|
||||
<form className="flex w-full flex-col gap-2" onSubmit={onSubmit}>
|
||||
<label htmlFor="name" className="sr-only">
|
||||
@@ -72,7 +87,7 @@ export function EmailSignupForm(props: EmailSignupFormProps) {
|
||||
type="email"
|
||||
autoComplete="email"
|
||||
required
|
||||
className="block w-full rounded-lg border border-gray-300 px-3 py-2 outline-none placeholder:text-gray-400 focus:ring-2 focus:ring-black focus:ring-offset-1"
|
||||
className="block w-full rounded-lg border border-gray-300 px-3 py-2 outline-none placeholder:text-gray-400 focus:ring-2 focus:ring-black focus:ring-offset-1"
|
||||
placeholder="Email Address"
|
||||
value={email}
|
||||
onInput={(e) => setEmail(String((e.target as any).value))}
|
||||
|
||||
@@ -23,7 +23,7 @@ const formattedDate = DateTime.fromISO('2024-09-13').toFormat('dd LLL, yyyy');
|
||||
<div
|
||||
class='flex flex-col items-center justify-center gap-2 sm:gap-2 rounded-xl border bg-white px-8 py-12 text-center'
|
||||
>
|
||||
<img src='/images/rocket.gif' class='w-[70px] mb-4' />
|
||||
<img src='/images/gifs/rocket.gif' class='w-[70px] mb-4' />
|
||||
<h2 class='text-balance text-xl font-medium'>Changelog page is launched</h2>
|
||||
<p class='font-normal text-balance text-gray-400 text-sm sm:text-base'>
|
||||
We will be sharing a selected list of updates, improvements, and fixes made to
|
||||
|
||||
@@ -10,7 +10,7 @@ const top10Changelogs = allChangelogs.slice(0, 10);
|
||||
<div class='container !max-w-[650px]'>
|
||||
<p class='text-2xl font-bold sm:text-5xl'>
|
||||
<img
|
||||
src='/images/rocket.gif'
|
||||
src='/images/gifs/rocket.gif'
|
||||
alt='Rocket'
|
||||
class='mr-2 hidden sm:inline h-12 w-12'
|
||||
/>
|
||||
|
||||
@@ -1,11 +1,10 @@
|
||||
import { useState, type ReactNode } from 'react';
|
||||
import { type ReactNode, useState } from 'react';
|
||||
import type {
|
||||
LeadeboardUserDetails,
|
||||
LeaderboardUserDetails,
|
||||
ListLeaderboardStatsResponse,
|
||||
} from '../../api/leaderboard';
|
||||
import { cn } from '../../lib/classname';
|
||||
import { FolderKanban, Zap, Trophy } from 'lucide-react';
|
||||
import { RankBadgeIcon } from '../ReactIcons/RankBadgeIcon';
|
||||
import { FolderKanban, GitPullRequest, Users, Users2, Zap } from 'lucide-react';
|
||||
import { TrophyEmoji } from '../ReactIcons/TrophyEmoji';
|
||||
import { SecondPlaceMedalEmoji } from '../ReactIcons/SecondPlaceMedalEmoji';
|
||||
import { ThirdPlaceMedalEmoji } from '../ReactIcons/ThirdPlaceMedalEmoji';
|
||||
@@ -18,53 +17,77 @@ export function LeaderboardPage(props: LeaderboardPageProps) {
|
||||
const { stats } = props;
|
||||
|
||||
return (
|
||||
<div className="min-h-screen bg-gray-50">
|
||||
<div className="container py-10">
|
||||
<div className="mb-8 text-center">
|
||||
<div className="mb-2 flex items-center justify-center gap-3">
|
||||
<Trophy className="size-8 text-yellow-500" />
|
||||
<h2 className="text-2xl font-bold sm:text-3xl">Leaderboard</h2>
|
||||
</div>
|
||||
<p className="mx-auto max-w-2xl text-balance text-sm text-gray-500 sm:text-base">
|
||||
Top users based on their activity on roadmap.sh
|
||||
</p>
|
||||
<div className="min-h-screen bg-gray-100">
|
||||
<div className="container pb-5 sm:pb-8">
|
||||
<h1 className="my-5 flex items-center text-lg font-medium text-black sm:mb-4 sm:mt-8">
|
||||
<Users2 className="mr-2 size-5 text-black" />
|
||||
Leaderboard
|
||||
</h1>
|
||||
|
||||
<div className="mt-8 grid gap-2 md:grid-cols-2">
|
||||
<LeaderboardLane
|
||||
title="Longest Visit Streak"
|
||||
tabs={[
|
||||
{
|
||||
title: 'Active',
|
||||
users: stats.streaks?.active || [],
|
||||
emptyIcon: <Zap className="size-16 text-gray-300" />,
|
||||
emptyText: 'No users with streaks yet',
|
||||
},
|
||||
{
|
||||
title: 'Lifetime',
|
||||
users: stats.streaks?.lifetime || [],
|
||||
emptyIcon: <Zap className="size-16 text-gray-300" />,
|
||||
emptyText: 'No users with streaks yet',
|
||||
},
|
||||
]}
|
||||
/>
|
||||
<LeaderboardLane
|
||||
title="Projects Completed"
|
||||
tabs={[
|
||||
{
|
||||
title: 'This Month',
|
||||
users: stats.projectSubmissions.currentMonth,
|
||||
emptyIcon: <FolderKanban className="size-16 text-gray-300" />,
|
||||
emptyText: 'No projects submitted this month',
|
||||
},
|
||||
{
|
||||
title: 'Lifetime',
|
||||
users: stats.projectSubmissions.lifetime,
|
||||
emptyIcon: <FolderKanban className="size-16 text-gray-300" />,
|
||||
emptyText: 'No projects submitted yet',
|
||||
},
|
||||
]}
|
||||
/>
|
||||
</div>
|
||||
<div className="grid gap-2 sm:gap-3 md:grid-cols-2">
|
||||
<LeaderboardLane
|
||||
title="Longest Visit Streak"
|
||||
tabs={[
|
||||
{
|
||||
title: 'Active',
|
||||
users: stats.streaks?.active || [],
|
||||
emptyIcon: <Zap className="size-16 text-gray-300" />,
|
||||
emptyText: 'No users with streaks yet',
|
||||
},
|
||||
{
|
||||
title: 'Lifetime',
|
||||
users: stats.streaks?.lifetime || [],
|
||||
emptyIcon: <Zap className="size-16 text-gray-300" />,
|
||||
emptyText: 'No users with streaks yet',
|
||||
},
|
||||
]}
|
||||
/>
|
||||
<LeaderboardLane
|
||||
title="Projects Completed"
|
||||
tabs={[
|
||||
{
|
||||
title: 'This Month',
|
||||
users: stats.projectSubmissions.currentMonth,
|
||||
emptyIcon: <FolderKanban className="size-16 text-gray-300" />,
|
||||
emptyText: 'No projects submitted this month',
|
||||
},
|
||||
{
|
||||
title: 'Lifetime',
|
||||
users: stats.projectSubmissions.lifetime,
|
||||
emptyIcon: <FolderKanban className="size-16 text-gray-300" />,
|
||||
emptyText: 'No projects submitted yet',
|
||||
},
|
||||
]}
|
||||
/>
|
||||
<LeaderboardLane
|
||||
title="Most Referrals"
|
||||
tabs={[
|
||||
{
|
||||
title: 'This Month',
|
||||
users: stats.referrals.currentMonth,
|
||||
emptyIcon: <Users className="size-16 text-gray-300" />,
|
||||
emptyText: 'No referrals this month',
|
||||
},
|
||||
{
|
||||
title: 'Lifetime',
|
||||
users: stats.referrals.lifetime,
|
||||
emptyIcon: <Users className="size-16 text-gray-300" />,
|
||||
emptyText: 'No referrals yet',
|
||||
},
|
||||
]}
|
||||
/>
|
||||
<LeaderboardLane
|
||||
title="Top Contributors"
|
||||
subtitle="Past 2 weeks"
|
||||
tabs={[
|
||||
{
|
||||
title: 'This Month',
|
||||
users: stats.githubContributors.currentMonth,
|
||||
emptyIcon: <GitPullRequest className="size-16 text-gray-300" />,
|
||||
emptyText: 'No contributors this month',
|
||||
},
|
||||
]}
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
@@ -73,27 +96,35 @@ export function LeaderboardPage(props: LeaderboardPageProps) {
|
||||
|
||||
type LeaderboardLaneProps = {
|
||||
title: string;
|
||||
subtitle?: string;
|
||||
tabs: {
|
||||
title: string;
|
||||
users: LeadeboardUserDetails[];
|
||||
users: LeaderboardUserDetails[];
|
||||
emptyIcon?: ReactNode;
|
||||
emptyText?: string;
|
||||
}[];
|
||||
};
|
||||
|
||||
function LeaderboardLane(props: LeaderboardLaneProps) {
|
||||
const { title, tabs } = props;
|
||||
const { title, subtitle, tabs } = props;
|
||||
|
||||
const [activeTab, setActiveTab] = useState(tabs[0]);
|
||||
const { users: usersToShow, emptyIcon, emptyText } = activeTab;
|
||||
|
||||
return (
|
||||
<div className="overflow-hidden rounded-md border bg-white shadow-sm">
|
||||
<div className="flex items-center justify-between gap-2 bg-gray-100 px-3 py-3 mb-3">
|
||||
<h3 className="text-base font-medium">{title}</h3>
|
||||
<div className="flex min-h-[450px] flex-col overflow-hidden rounded-xl border bg-white shadow-sm">
|
||||
<div className="mb-3 flex items-center justify-between gap-2 px-3 py-3">
|
||||
<h3 className="text-sm font-medium">
|
||||
{title}{' '}
|
||||
{subtitle && (
|
||||
<span className="ml-1 text-sm font-normal text-gray-400">
|
||||
{subtitle}
|
||||
</span>
|
||||
)}
|
||||
</h3>
|
||||
|
||||
{tabs.length > 1 && (
|
||||
<div className="flex items-center gap-2">
|
||||
<div className="flex items-center gap-1">
|
||||
{tabs.map((tab) => {
|
||||
const isActive = tab === activeTab;
|
||||
|
||||
@@ -102,10 +133,10 @@ function LeaderboardLane(props: LeaderboardLaneProps) {
|
||||
key={tab.title}
|
||||
onClick={() => setActiveTab(tab)}
|
||||
className={cn(
|
||||
'text-sm font-medium underline-offset-2 transition-colors',
|
||||
'text-xs transition-colors py-0.5 px-2 rounded-full',
|
||||
{
|
||||
'text-black underline': isActive,
|
||||
'text-gray-400 hover:text-gray-600': !isActive,
|
||||
'text-white bg-black': isActive,
|
||||
'hover:bg-gray-200': !isActive,
|
||||
},
|
||||
)}
|
||||
>
|
||||
@@ -118,7 +149,7 @@ function LeaderboardLane(props: LeaderboardLaneProps) {
|
||||
</div>
|
||||
|
||||
{usersToShow.length === 0 && emptyText && (
|
||||
<div className="flex flex-col items-center justify-center p-8">
|
||||
<div className="flex flex-grow flex-col items-center justify-center p-8">
|
||||
{emptyIcon}
|
||||
<p className="mt-4 text-sm text-gray-500">{emptyText}</p>
|
||||
</div>
|
||||
@@ -128,19 +159,23 @@ function LeaderboardLane(props: LeaderboardLaneProps) {
|
||||
<ul className="divide-y divide-gray-100 pb-4">
|
||||
{usersToShow.map((user, counter) => {
|
||||
const avatar = user?.avatar
|
||||
? `${import.meta.env.PUBLIC_AVATAR_BASE_URL}/${user.avatar}`
|
||||
? user?.avatar?.startsWith('http')
|
||||
? user?.avatar
|
||||
: `${import.meta.env.PUBLIC_AVATAR_BASE_URL}/${user.avatar}`
|
||||
: '/images/default-avatar.png';
|
||||
|
||||
const rank = counter + 1;
|
||||
const isGitHubUser = avatar?.indexOf('github') > -1;
|
||||
|
||||
return (
|
||||
<li
|
||||
key={user.id}
|
||||
className="flex items-center justify-between gap-1 pl-2 pr-5 py-2.5 hover:bg-gray-50"
|
||||
className="flex items-center justify-between gap-1 py-2.5 pl-2 pr-5"
|
||||
>
|
||||
<div className="flex min-w-0 items-center gap-2">
|
||||
<span
|
||||
className={cn(
|
||||
'relative text-xs mr-1 flex size-6 shrink-0 items-center justify-center rounded-full tabular-nums',
|
||||
'relative mr-1 flex size-6 shrink-0 items-center justify-center rounded-full text-xs tabular-nums',
|
||||
{
|
||||
'text-black': rank <= 3,
|
||||
'text-gray-400': rank > 3,
|
||||
@@ -153,9 +188,19 @@ function LeaderboardLane(props: LeaderboardLaneProps) {
|
||||
<img
|
||||
src={avatar}
|
||||
alt={user.name}
|
||||
className="size-7 shrink-0 rounded-full"
|
||||
className="mr-1 size-7 shrink-0 rounded-full"
|
||||
/>
|
||||
<span className="truncate">{user.name}</span>
|
||||
{isGitHubUser ? (
|
||||
<a
|
||||
href={`https://github.com/kamranahmedse/developer-roadmap/pulls?q=is%3Apr+is%3Aclosed+author%3A${user.name}`}
|
||||
target="_blank"
|
||||
className="truncate font-medium underline underline-offset-2"
|
||||
>
|
||||
{user.name}
|
||||
</a>
|
||||
) : (
|
||||
<span className="truncate">{user.name}</span>
|
||||
)}
|
||||
{rank === 1 ? (
|
||||
<TrophyEmoji className="size-5" />
|
||||
) : rank === 2 ? (
|
||||
|
||||
@@ -5,10 +5,13 @@ import type {
|
||||
} from '../../lib/project.ts';
|
||||
import { Users } from 'lucide-react';
|
||||
import { formatCommaNumber } from '../../lib/number.ts';
|
||||
import { cn } from '../../lib/classname.ts';
|
||||
import { isLoggedIn } from '../../lib/jwt.ts';
|
||||
|
||||
type ProjectCardProps = {
|
||||
project: ProjectFileType;
|
||||
userCount?: number;
|
||||
status?: 'completed' | 'started' | 'none';
|
||||
};
|
||||
|
||||
const badgeVariants: Record<ProjectDifficultyType, string> = {
|
||||
@@ -18,10 +21,12 @@ const badgeVariants: Record<ProjectDifficultyType, string> = {
|
||||
};
|
||||
|
||||
export function ProjectCard(props: ProjectCardProps) {
|
||||
const { project, userCount = 0 } = props;
|
||||
|
||||
const { project, userCount = 0, status } = props;
|
||||
const { frontmatter, id } = project;
|
||||
|
||||
const isLoadingStatus = status === undefined;
|
||||
const userStartedCount = status !== 'none' && userCount === 0 ? userCount + 1 : userCount;
|
||||
|
||||
return (
|
||||
<a
|
||||
href={`/projects/${id}`}
|
||||
@@ -34,16 +39,45 @@ export function ProjectCard(props: ProjectCardProps) {
|
||||
/>
|
||||
<Badge variant={'grey'} text={frontmatter.nature} />
|
||||
</span>
|
||||
<span className="my-3 flex flex-col">
|
||||
<span className="my-3 flex min-h-[100px] flex-col">
|
||||
<span className="mb-1 font-medium">{frontmatter.title}</span>
|
||||
<span className="text-sm text-gray-500">{frontmatter.description}</span>
|
||||
</span>
|
||||
<span className="flex items-center gap-2 text-xs text-gray-400">
|
||||
<Users className="inline-block size-3.5" />
|
||||
{userCount > 0 ? (
|
||||
<>{formatCommaNumber(userCount)} Started</>
|
||||
<span className="flex min-h-[22px] items-center justify-between gap-2 text-xs text-gray-400">
|
||||
{isLoadingStatus ? (
|
||||
<>
|
||||
<span className="h-5 w-24 animate-pulse rounded bg-gray-200" />{' '}
|
||||
<span className="h-5 w-20 animate-pulse rounded bg-gray-200" />{' '}
|
||||
</>
|
||||
) : (
|
||||
<>Be the first to solve!</>
|
||||
<>
|
||||
<span className="flex items-center gap-1.5">
|
||||
<Users className="size-3.5" />
|
||||
{userStartedCount > 0 ? (
|
||||
<>{formatCommaNumber(userStartedCount)} Started</>
|
||||
) : (
|
||||
<>Be the first to solve!</>
|
||||
)}
|
||||
</span>
|
||||
|
||||
{status !== 'none' && (
|
||||
<span
|
||||
className={cn(
|
||||
'flex items-center gap-1.5 rounded-full border border-current px-2 py-0.5 capitalize',
|
||||
status === 'completed' && 'text-green-500',
|
||||
status === 'started' && 'text-yellow-500',
|
||||
)}
|
||||
>
|
||||
<span
|
||||
className={cn('inline-block h-2 w-2 rounded-full', {
|
||||
'bg-green-500': status === 'completed',
|
||||
'bg-yellow-500': status === 'started',
|
||||
})}
|
||||
/>
|
||||
{status}
|
||||
</span>
|
||||
)}
|
||||
</>
|
||||
)}
|
||||
</span>
|
||||
</a>
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
import { ProjectCard } from './ProjectCard.tsx';
|
||||
import { HeartHandshake, Trash2 } from 'lucide-react';
|
||||
import { cn } from '../../lib/classname.ts';
|
||||
import { useMemo, useState } from 'react';
|
||||
import { useEffect, useMemo, useState } from 'react';
|
||||
import {
|
||||
projectDifficulties,
|
||||
type ProjectDifficultyType,
|
||||
@@ -12,6 +12,8 @@ import {
|
||||
getUrlParams,
|
||||
setUrlParams,
|
||||
} from '../../lib/browser.ts';
|
||||
import { httpPost } from '../../lib/http.ts';
|
||||
import { isLoggedIn } from '../../lib/jwt.ts';
|
||||
|
||||
type DifficultyButtonProps = {
|
||||
difficulty: ProjectDifficultyType;
|
||||
@@ -38,6 +40,11 @@ function DifficultyButton(props: DifficultyButtonProps) {
|
||||
);
|
||||
}
|
||||
|
||||
export type ListProjectStatusesResponse = Record<
|
||||
string,
|
||||
'completed' | 'started'
|
||||
>;
|
||||
|
||||
type ProjectsListProps = {
|
||||
projects: ProjectFileType[];
|
||||
userCounts: Record<string, number>;
|
||||
@@ -50,6 +57,30 @@ export function ProjectsList(props: ProjectsListProps) {
|
||||
const [difficulty, setDifficulty] = useState<
|
||||
ProjectDifficultyType | undefined
|
||||
>(urlDifficulty);
|
||||
const [projectStatuses, setProjectStatuses] =
|
||||
useState<ListProjectStatusesResponse>();
|
||||
|
||||
const loadProjectStatuses = async () => {
|
||||
if (!isLoggedIn()) {
|
||||
setProjectStatuses({});
|
||||
return;
|
||||
}
|
||||
|
||||
const projectIds = projects.map((project) => project.id);
|
||||
const { response, error } = await httpPost(
|
||||
`${import.meta.env.PUBLIC_API_URL}/v1-list-project-statuses`,
|
||||
{
|
||||
projectIds,
|
||||
},
|
||||
);
|
||||
|
||||
if (error || !response) {
|
||||
console.error(error);
|
||||
return;
|
||||
}
|
||||
|
||||
setProjectStatuses(response);
|
||||
};
|
||||
|
||||
const projectsByDifficulty: Map<ProjectDifficultyType, ProjectFileType[]> =
|
||||
useMemo(() => {
|
||||
@@ -72,12 +103,17 @@ export function ProjectsList(props: ProjectsListProps) {
|
||||
? projectsByDifficulty.get(difficulty) || []
|
||||
: projects;
|
||||
|
||||
useEffect(() => {
|
||||
loadProjectStatuses().finally();
|
||||
}, []);
|
||||
|
||||
return (
|
||||
<div className="flex flex-col">
|
||||
<div className="my-2.5 flex items-center justify-between">
|
||||
<div className="flex flex-wrap gap-1">
|
||||
{projectDifficulties.map((projectDifficulty) => (
|
||||
<DifficultyButton
|
||||
key={projectDifficulty}
|
||||
onClick={() => {
|
||||
setDifficulty(projectDifficulty);
|
||||
setUrlParams({ difficulty: projectDifficulty });
|
||||
@@ -130,7 +166,18 @@ export function ProjectsList(props: ProjectsListProps) {
|
||||
})
|
||||
.map((matchingProject) => {
|
||||
const count = userCounts[matchingProject?.id] || 0;
|
||||
return <ProjectCard project={matchingProject} userCount={count} />;
|
||||
return (
|
||||
<ProjectCard
|
||||
key={matchingProject.id}
|
||||
project={matchingProject}
|
||||
userCount={count}
|
||||
status={
|
||||
projectStatuses
|
||||
? (projectStatuses?.[matchingProject.id] || 'none')
|
||||
: undefined
|
||||
}
|
||||
/>
|
||||
);
|
||||
})}
|
||||
</div>
|
||||
</div>
|
||||
|
||||
@@ -190,6 +190,7 @@ export function ProjectsPage(props: ProjectsPageProps) {
|
||||
key={project.id}
|
||||
project={project}
|
||||
userCount={userCounts[project.id] || 0}
|
||||
status={'none'}
|
||||
/>
|
||||
))}
|
||||
</div>
|
||||
|
||||
@@ -357,6 +357,11 @@ const groups: GroupType[] = [
|
||||
link: '/ai-data-scientist',
|
||||
type: 'role',
|
||||
},
|
||||
{
|
||||
title: 'AI Engineer',
|
||||
link: '/ai-engineer',
|
||||
type: 'role',
|
||||
},
|
||||
{
|
||||
title: 'Data Analyst',
|
||||
link: '/data-analyst',
|
||||
|
||||
@@ -175,7 +175,6 @@ export function TopicDetail(props: TopicDetailProps) {
|
||||
setError('');
|
||||
setIsLoading(true);
|
||||
setIsActive(true);
|
||||
sponsorHidden.set(true);
|
||||
|
||||
setTopicId(topicId);
|
||||
setResourceType(resourceType);
|
||||
|
||||
25
src/data/changelogs/ai-engineer-roadmap.md
Normal file
@@ -0,0 +1,25 @@
|
||||
---
|
||||
title: 'AI Engineer Roadmap, Leaderboards, Editor AI, and more'
|
||||
description: 'New AI Engineer Roadmap, New Leaderboards, AI Integration in Editor, and more'
|
||||
images:
|
||||
"AI Engineer Roadmap": "https://assets.roadmap.sh/guest/ai-engineer-roadmap.png"
|
||||
"Refer Others": "https://assets.roadmap.sh/guest/invite-users.png"
|
||||
"Editor AI Integration": "https://assets.roadmap.sh/guest/editor-ai-integration.png"
|
||||
"Project Status": "https://assets.roadmap.sh/guest/project-status.png"
|
||||
"Leaderboards": "https://assets.roadmap.sh/guest/new-leaderboards.png"
|
||||
seo:
|
||||
title: 'AI Engineer Roadmap, Leaderboards, Editor AI, and more'
|
||||
description: ''
|
||||
date: 2024-10-04
|
||||
---
|
||||
|
||||
We have a new AI Engineer roadmap, Contributor leaderboards, AI integration in the editor, and more.
|
||||
|
||||
- [AI Engineer Roadmap](https://roadmap.sh/ai-engineer) is now live
|
||||
- You can now refer others to join roadmap.sh
|
||||
- AI integration [in the editor](https://draw.roadmap.sh) to help you create and edit roadmaps faster
|
||||
- New [Leaderboards](/leaderboard) for contributors and people who refer others
|
||||
- [Projects pages](/frontend/projects) now show the status of each project
|
||||
- Bug fixes and performance improvements
|
||||
|
||||
ML Engineer roadmap and team dashboards are coming up next. Stay tuned!
|
||||
@@ -22,4 +22,4 @@ We have a new roadmap, some improvements to dashboard, bookmarks and more.
|
||||
- [Cyber Security roadmap](/cyber-security) is now filled with new content and resources.
|
||||
- Buf fixes and improvements to some team features.
|
||||
|
||||
Next up, we are working on a new Data Engineering roadmap and teams dashboards.
|
||||
Next up, we are working on a new AI Engineer roadmap and teams dashboards.
|
||||
42
src/data/projects/age-calculator.md
Normal file
@@ -0,0 +1,42 @@
|
||||
---
|
||||
title: Age Calculator
|
||||
description: Create an age calculator using HTML, CSS, and JavaScript.
|
||||
isNew: true
|
||||
sort: 19
|
||||
difficulty: 'beginner'
|
||||
nature: 'Frontend'
|
||||
skills:
|
||||
- 'HTML'
|
||||
- 'CSS'
|
||||
- 'JavaScript'
|
||||
- 'DOM Manipulation'
|
||||
- 'Package Management'
|
||||
seo:
|
||||
title: Build an Age Calculator App with JavaScript
|
||||
description: Create an age calculator using HTML, CSS, and JavaScript.
|
||||
keywords:
|
||||
- 'age calculator'
|
||||
- 'frontend project idea'
|
||||
- 'luxon date manipulation'
|
||||
- 'javascript datepicker'
|
||||
roadmapIds:
|
||||
- 'frontend'
|
||||
---
|
||||
|
||||
The goal of this project is to help you learn about how to use external packages using [npm](https://www.npmjs.com/). The user inputs their birthdate via a [JavaScript Datepicker](https://www.npmjs.com/package/js-datepicker), and the app calculates and displays their exact age, including years, and months using [Luxon](https://www.npmjs.com/package/luxon).
|
||||
|
||||

|
||||
|
||||
## Requirements
|
||||
|
||||
You are required to develop an age calculator with the following features:
|
||||
|
||||
- A form that allows users to input their birthdate using a JavaScript datepicker (avoid the default HTML date picker)
|
||||
- Use the [Luxon](https://www.npmjs.com/package/luxon) library to calculate the exact age in years, months, and days
|
||||
- Display the result on the same page after the user submits the form
|
||||
- Implement basic validation to ensure the birthdate is valid
|
||||
- Use simple styling to make the calculator visually appealing and responsive
|
||||
|
||||
<hr />
|
||||
|
||||
This project will help you understand how to manipulate dates and times in JavaScript using [Luxon](https://www.npmjs.com/package/luxon). You'll gain experience handling user input via a datepicker, performing date calculations, and designing a simple user interface.
|
||||
@@ -1,23 +1,23 @@
|
||||
---
|
||||
title: 'Custom Dropdown'
|
||||
description: 'Create a custom dropdown using HTML, CSS, and JavaScript.'
|
||||
isNew: false
|
||||
sort: 19
|
||||
difficulty: 'intermediate'
|
||||
nature: 'JavaScript'
|
||||
skills:
|
||||
- 'HTML'
|
||||
- 'CSS'
|
||||
- 'JavaScript'
|
||||
- 'DOM Manipulation'
|
||||
seo:
|
||||
title: 'Build a Custom Dropdown Menu with JavaScript'
|
||||
description: 'Learn how to create a fully customizable dropdown menu that allows users to select an item and see the selection reflected in the dropdown.'
|
||||
keywords:
|
||||
title: 'Custom Dropdown'
|
||||
description: 'Create a custom dropdown using HTML, CSS, and JavaScript.'
|
||||
isNew: false
|
||||
sort: 20
|
||||
difficulty: 'intermediate'
|
||||
nature: 'JavaScript'
|
||||
skills:
|
||||
- 'HTML'
|
||||
- 'CSS'
|
||||
- 'JavaScript'
|
||||
- 'DOM Manipulation'
|
||||
seo:
|
||||
title: 'Build a Custom Dropdown Menu with JavaScript'
|
||||
description: 'Learn how to create a fully customizable dropdown menu that allows users to select an item and see the selection reflected in the dropdown.'
|
||||
keywords:
|
||||
- 'custom dropdown'
|
||||
- 'javascript dropdown'
|
||||
- 'html and css'
|
||||
roadmapIds:
|
||||
- 'html and css'
|
||||
roadmapIds:
|
||||
- 'frontend'
|
||||
---
|
||||
|
||||
@@ -27,4 +27,4 @@ Given below is the mockup showing the dropdown in its default, open, and selecte
|
||||
|
||||
[](https://assets.roadmap.sh/guest/dropdown-1f4b3.png)
|
||||
|
||||
This project will help you practice DOM manipulation, event handling, and creating responsive and interactive elements with JavaScript.
|
||||
This project will help you practice DOM manipulation, event handling, and creating responsive and interactive elements with JavaScript.
|
||||
|
||||
39
src/data/projects/flash-cards.md
Normal file
@@ -0,0 +1,39 @@
|
||||
---
|
||||
title: Flash Cards
|
||||
description: Create a flash card app using JavaScript frameworks.
|
||||
isNew: true
|
||||
sort: 20
|
||||
difficulty: 'beginner'
|
||||
nature: 'Frontend'
|
||||
skills:
|
||||
- 'HTML'
|
||||
- 'CSS'
|
||||
- 'JavaScript'
|
||||
- 'JavaScript Frameworks'
|
||||
seo:
|
||||
title: Build a Flash Cards App
|
||||
description: Create a flash card app using JavaScript frameworks
|
||||
keywords:
|
||||
- 'flash cards'
|
||||
- 'frontend project idea'
|
||||
- 'javascript frameworks'
|
||||
roadmapIds:
|
||||
- 'frontend'
|
||||
---
|
||||
|
||||
The goal of this project is to help you learn about how to use state management and component-based architecture using JavaScript frameworks. You will build a flash card app with pre-defined JavaScript questions and answers that users can flip through to test their knowledge.
|
||||
|
||||

|
||||
|
||||
## Requirements
|
||||
|
||||
You are required to develop a flash cards app with the following features:
|
||||
|
||||
- Pre-defined flashcards with questions and answers
|
||||
- Progress bar to show the user's progress
|
||||
- Ability to view flashcards one at a time and flip to reveal the answer
|
||||
- Simple navigation to cycle through the flashcards
|
||||
|
||||
<hr />
|
||||
|
||||
This project will help you understand how to manage state and create reusable components. You can use any framework of your choice, such as React, Angular, or Vue.js, to build this project.
|
||||
@@ -1,7 +1,7 @@
|
||||
---
|
||||
jsonUrl: '/jsons/roadmaps/ai-data-scientist.json'
|
||||
pdfUrl: '/pdfs/roadmaps/ai-data-scientist.pdf'
|
||||
order: 4
|
||||
order: 5
|
||||
renderer: 'editor'
|
||||
briefTitle: 'AI and Data Scientist'
|
||||
briefDescription: 'Step by step guide to becoming an AI and Data Scientist in 2024'
|
||||
|
||||
1
src/data/roadmaps/ai-engineer/ai-engineer.json
Normal file
50
src/data/roadmaps/ai-engineer/ai-engineer.md
Normal file
@@ -0,0 +1,50 @@
|
||||
---
|
||||
jsonUrl: '/jsons/roadmaps/ai-engineer.json'
|
||||
pdfUrl: '/pdfs/roadmaps/ai-engineer.pdf'
|
||||
order: 4
|
||||
renderer: 'editor'
|
||||
briefTitle: 'AI Engineer'
|
||||
briefDescription: 'Step by step guide to becoming an AI Engineer in 2024'
|
||||
title: 'AI Engineer Roadmap'
|
||||
description: 'Step by step guide to becoming an AI Engineer in 2024'
|
||||
hasTopics: true
|
||||
isNew: true
|
||||
dimensions:
|
||||
width: 968
|
||||
height: 3200
|
||||
question:
|
||||
title: 'What is an AI Engineer?'
|
||||
description: |
|
||||
An AI Engineer uses pre-trained models and existing AI tools to improve user experiences. They focus on applying AI in practical ways, without building models from scratch. This is different from AI Researchers and ML Engineers, who focus more on creating new models or developing AI theory.
|
||||
schema:
|
||||
headline: 'AI Engineer Roadmap'
|
||||
description: 'Learn how to become an AI Engineer with this interactive step by step guide in 2023. We also have resources and short descriptions attached to the roadmap items so you can get everything you want to learn in one place.'
|
||||
imageUrl: 'https://roadmap.sh/roadmaps/ai-engineer.png'
|
||||
datePublished: '2024-10-03'
|
||||
dateModified: '2024-10-03'
|
||||
seo:
|
||||
title: 'AI Engineer Roadmap'
|
||||
description: 'Learn to become an AI Engineer using this roadmap. Community driven, articles, resources, guides, interview questions, quizzes for modern backend development.'
|
||||
keywords:
|
||||
- 'ai engineer roadmap 2024'
|
||||
- 'guide to becoming an ai engineer'
|
||||
- 'ai engineer roadmap'
|
||||
- 'ai engineer skills'
|
||||
- 'become an ai engineer'
|
||||
- 'ai engineer career path'
|
||||
- 'skills for ai engineer'
|
||||
- 'ai engineer quiz'
|
||||
- 'ai engineer interview questions'
|
||||
relatedRoadmaps:
|
||||
- 'ai-data-scientist'
|
||||
- 'prompt-engineering'
|
||||
- 'data-analyst'
|
||||
- 'python'
|
||||
sitemap:
|
||||
priority: 1
|
||||
changefreq: 'monthly'
|
||||
tags:
|
||||
- 'roadmap'
|
||||
- 'main-sitemap'
|
||||
- 'role-roadmap'
|
||||
---
|
||||
@@ -0,0 +1 @@
|
||||
# Adding end-user IDs in prompts
|
||||
@@ -0,0 +1 @@
|
||||
# Agents Usecases
|
||||
@@ -0,0 +1 @@
|
||||
# AI Agents
|
||||
@@ -0,0 +1 @@
|
||||
# AI Agents
|
||||
@@ -0,0 +1 @@
|
||||
# AI Code Editors
|
||||
@@ -0,0 +1 @@
|
||||
# AI Engineer vs ML Engineer
|
||||
@@ -0,0 +1 @@
|
||||
# AI Safety and Ethics
|
||||
@@ -0,0 +1 @@
|
||||
# AI vs AGI
|
||||
@@ -0,0 +1 @@
|
||||
# Anomaly Detection
|
||||
@@ -0,0 +1 @@
|
||||
# Anthropic's Claude
|
||||
@@ -0,0 +1 @@
|
||||
# Audio Processing
|
||||
@@ -0,0 +1 @@
|
||||
# AWS Sagemaker
|
||||
@@ -0,0 +1 @@
|
||||
# Azure AI
|
||||
@@ -0,0 +1 @@
|
||||
# Benefits of Pre-trained Models
|
||||
@@ -0,0 +1 @@
|
||||
# Bias and Fareness
|
||||
@@ -0,0 +1 @@
|
||||
# Capabilities / Context Length
|
||||
@@ -0,0 +1 @@
|
||||
# Chat Completions API
|
||||
@@ -0,0 +1 @@
|
||||
# Chroma
|
||||
@@ -0,0 +1 @@
|
||||
# Chunking
|
||||
@@ -0,0 +1 @@
|
||||
# Code Completion Tools
|
||||
@@ -0,0 +1 @@
|
||||
# Cohere
|
||||
@@ -0,0 +1 @@
|
||||
# Conducting adversarial testing
|
||||
@@ -0,0 +1 @@
|
||||
# Constraining outputs and inputs
|
||||
@@ -0,0 +1 @@
|
||||
# Cut-off Dates / Knowledge
|
||||
@@ -0,0 +1 @@
|
||||
# DALL-E API
|
||||
@@ -0,0 +1 @@
|
||||
# Data Classification
|
||||
@@ -0,0 +1 @@
|
||||
# Development Tools
|
||||
@@ -0,0 +1 @@
|
||||
# Embedding
|
||||
@@ -0,0 +1 @@
|
||||
# Embeddings
|
||||
@@ -0,0 +1 @@
|
||||
# FAISS
|
||||
@@ -0,0 +1 @@
|
||||
# Fine-tuning
|
||||
@@ -0,0 +1 @@
|
||||
# Generation
|
||||
@@ -0,0 +1 @@
|
||||
# Google's Gemini
|
||||
@@ -0,0 +1 @@
|
||||
# Hugging Face Hub
|
||||
@@ -0,0 +1 @@
|
||||
# Hugging Face Models
|
||||
@@ -0,0 +1 @@
|
||||
# Hugging Face Models
|
||||
@@ -0,0 +1 @@
|
||||
# Hugging Face Tasks
|
||||
@@ -0,0 +1 @@
|
||||
# Hugging Face
|
||||
@@ -0,0 +1 @@
|
||||
# Image Generation
|
||||
@@ -0,0 +1 @@
|
||||
# Image Understanding
|
||||
@@ -0,0 +1 @@
|
||||
# Impact on Product Development
|
||||
@@ -0,0 +1 @@
|
||||
# Indexing Embeddings
|
||||
@@ -0,0 +1 @@
|
||||
# Inference SDK
|
||||
@@ -0,0 +1 @@
|
||||
# Inference
|
||||
@@ -0,0 +1 @@
|
||||
# Introduction
|
||||
@@ -0,0 +1 @@
|
||||
# Know your Customers / Usecases
|
||||
@@ -0,0 +1 @@
|
||||
# LanceDB
|
||||
@@ -0,0 +1 @@
|
||||
# LangChain for Multimodal Apps
|
||||
@@ -0,0 +1 @@
|
||||
# Langchain
|
||||
@@ -0,0 +1 @@
|
||||
# Limitations and Considerations
|
||||
@@ -0,0 +1 @@
|
||||
# Llama Index
|
||||
@@ -0,0 +1 @@
|
||||
# LlamaIndex for Multimodal Apps
|
||||
@@ -0,0 +1 @@
|
||||
# LLMs
|
||||
@@ -0,0 +1 @@
|
||||
# Manual Implementation
|
||||
@@ -0,0 +1 @@
|
||||
# Maximum Tokens
|
||||
@@ -0,0 +1 @@
|
||||
# Mistral AI
|
||||
@@ -0,0 +1 @@
|
||||
# Models on Hugging Face
|
||||
@@ -0,0 +1 @@
|
||||
# MongoDB Atlas
|
||||
@@ -0,0 +1 @@
|
||||
# Multimodal AI Usecases
|
||||
@@ -0,0 +1 @@
|
||||
# Multimodal AI
|
||||