Master programming by recreating your favorite technologies from scratch.
- programming
- tutorials
- tutorial-code
- tutorial-exercises
47,133 repositories indexed
1–24 of 1,142 · Most stars
Master programming by recreating your favorite technologies from scratch.
😎 Awesome lists about all kinds of interesting topics [NOTE: Pull requests are temporarily disabled until I have a chance to catch up with the existing ones]
freeCodeCamp.org's open-source codebase and curriculum. Learn math, programming, and computer science for free.
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
A complete computer science study plan to become a software engineer.
The definitive list that answers "I want to do X in Python, which tool should I use?"
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
All Algorithms implemented in Python
Free domain registration and practical DNS learning resources for everyone.
📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
:octocat: 分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
A book series (2 published editions) on the JS language.
Curated coding interview preparation materials for busy software engineers
Crack LeetCode, not only how, but also why.
《Hello 算法》:动画图解、一键运行的数据结构与算法教程。支持简中、繁中、English、日本語,提供 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 等代码实现
Coding articles to level up your development skills
A collection of various awesome lists for hackers, pentesters and security researchers
21 Lessons, Get Started Building with Generative AI
This project is dedicated to collecting high-quality macOS software and organizing them systematically by different categories for easy search and use.
Papers from the computer science community to read and discuss.
Clean Code concepts adapted for JavaScript
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.