freeCodeCamp.org's open-source codebase and curriculum. Learn math, programming, and computer science for free.
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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.
🎓 Path to a free self-taught education in Computer Science!
📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
Translated:books: Essential foundational knowledge for technical interviews, Leetcode, computer operating systems, computer networks, system design
Crack LeetCode, not only how, but also why.
Papers from the computer science community to read and discuss.
A collection of (mostly) technical things every software developer should know about
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.
List of Computer Science courses with video lectures.
The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
:books: List of awesome university courses for learning Computer Science!
A hand-picked collection of the finest of resources for the most awesome of agents, Claude Code, the undisputed champion of coding companions, from the unstoppable team at Anthropic PBC (no affiliation). A delectable showcase of top tier skills, ambidextrous agents, scintillating status lines, top notch developer tooling, and also we have plugins
TranslatedLeetCode Solutions: A Record of My Problem Solving Journey. (LeetCode solutions, recording my own journey of solving LeetCode problems.)
100 Days of ML Coding
A collection of learning resources for curious software engineers
Python Data Science Handbook: full text in Jupyter Notebooks
Learn how to develop, deploy and iterate on production-grade ML applications.
An ultra-simplified explanation to design patterns
Summer 2027 software engineering, data science, AI, quant, product management, and hardware internship postings. Updated daily by Simplify and Pitt CSC.
Learn System Design concepts and prepare for interviews using free resources.