enaqx/awesome-react
Awesome React
Awesome React is a collection of libraries, guides, tools, and examples from the React and React Native ecosystem.
Open Source: #learning
Catalog projects marked with #learning. Tags work as dedicated landing pages, so related tools are easier to find and connect.
This collection holds 56 projects with a combined 6,614,713 GitHub stars. Main languages: Python, JavaScript, Jupyter Notebook.
About the learn-by-building projects
Learning from other people's code is the fastest way to grow as an engineer. The repositories here exist exactly for that: step-by-step tutorials, build-it-yourself projects, and structured learning paths.
The build-your-own-X format is especially valuable — a database, an interpreter, a game from scratch deliver the kind of understanding documentation cannot. Pick by your stack and level.
Repositories
Found: 56
vuejs/awesome-vue
Awesome Vue
Awesome Vue is a collection of resources, libraries, components, tools, and projects from the Vue.js ecosystem.
PKUFlyingPig/cs-self-learning
CS Self Learning
CS Self Learning is a Chinese guide for self-studying computer science through open courses and materials.
josephmisiti/awesome-machine-learning
Awesome Machine Learning
Awesome Machine Learning is a large navigation list of machine-learning libraries, frameworks, and learning resources across languages.
binhnguyennus/awesome-scalability
Awesome Scalability
Awesome Scalability is a collection of material on scalability, reliability, performance, architecture, and system design.
prakhar1989/awesome-courses
Awesome CS Courses
Awesome CS Courses is a large list of university computer-science courses with lectures, assignments, notes, and exam material.
microsoft/ai-agents-for-beginners
AI Agents for Beginners
AI Agents for Beginners is a Microsoft course of 12 lessons for learning agents, RAG, tools, and multi-agent systems.
shareAI-lab/learn-claude-code
Learn Claude Code
Learn Claude Code is a learning project about agent harnesses: tools, memory, context, and the working shell around a model.
labmlai/annotated_deep_learning_paper_implementations
Annotated Deep Learning Papers
Annotated Deep Learning Papers is a collection of deep-learning paper implementations with explanations next to the code.
leonardomso/33-js-concepts
33 JS Concepts
33 JS Concepts is a structured collection of core JavaScript topics for learning the language deeply.
Asabeneh/30-Days-Of-Python
30 Days Of Python
30 Days Of Python is a step-by-step Python learning course organized by daily topics and exercises.
lydiahallie/javascript-questions
JavaScript Questions
JavaScript Questions is a large collection of JavaScript behavior questions with explanations.