A visual and implementation-focused collection of algorithms covering topics such as sorting, searching, numerical methods, graphics, and computational techniques.

Harvard's introductory computer science course covering programming, algorithms, data structures, memory, databases, web development, and software engineering through lectures and hands-on problem sets.

Free computing courses covering programming, computer science fundamentals, algorithms, internet technologies, and creative coding through interactive lessons and exercises.

A large collection of programming and algorithmic problems for practicing data structures, algorithms, SQL, and other technical skills commonly used in software engineering interviews.

Interactive mathematics lessons combining visual explanations, simulations, puzzles, and explorations to help learners understand mathematical concepts through experimentation.

MIT's collection of freely available university course materials, including lecture notes, assignments, exams, and videos across computer science and many other academic disciplines.

A hands-on computer science course where learners build a complete computing system from basic logic gates through a CPU, operating system, and software stack.

A visual learning roadmap organizing data structures and algorithms topics into a structured path for developers preparing for coding interviews and strengthening problem-solving skills.

A community-maintained computer science curriculum that organizes freely available courses, books, lectures, and other resources into a structured path for self-directed study.

A collection of mathematical programming problems designed to develop problem-solving skills by combining mathematical reasoning with algorithmic programming.

A curated self-study roadmap covering core computer science subjects such as algorithms, data structures, computer architecture, operating systems, networking, databases, and distributed systems.

A free, open-source collection of structured interview preparation material covering algorithms, data structures, coding techniques, behavioral interviews, and software engineering preparation.

Interactive visualizations and animations that make data structures and algorithms easier to understand through exploration and step-by-step demonstrations.