Comprehensive reference for competitive programming algorithms and data structures, with detailed explanations and C++ implementations.

~300 curated competitive programming problems covering all major topics — widely considered the best structured problem set for learning.

The leading competitive programming platform. Regular Div. 1–4 contests, editorial write-ups, and a massive problem archive.

Free PDF textbook by Antti Laaksonen covering graph theory, dynamic programming, number theory, and more for competitive programmers.

Beginner-friendly CTF platform by Carnegie Mellon University. Challenges in web, crypto, forensics, reverse engineering, and binary exploitation.

Structured learning platform for binary exploitation and systems security — covering GDB, shellcode, ROP chains, kernel exploitation.

Hands-on cryptography challenges that teach you to break real cryptographic systems through practical implementation. Highly recommended.

Calendar and archive of CTF competitions worldwide. Find upcoming events, team rankings, and write-ups from past competitions.

Top-down approach to deep learning: practical course that gets you building state-of-the-art models from lesson one, no PhD required.

Build neural networks from scratch in Python, culminating in a GPT-style language model. The clearest explanation of backprop that exists.

Computer Systems: A Programmer's Perspective — the definitive systems programming textbook. Assembly, memory, caching, linking, concurrency.

MIT's graduate distributed systems course. Lectures and labs covering Raft consensus, MapReduce, and fault-tolerant key-value storage.

MIT's course on practical tools CS education skips: the shell, Vim, Git internals, debugging, profiling, and more. Essential for every student.

Mathematical and computational problems requiring creative algorithmic thinking. Great for sharpening both mathematical reasoning and coding skills.