Interactive, test-driven Python coding challenges (algorithms and data structures) typically found in coding interviews or coding competitions

Each challenge includes Jupyter notebooks with unit tests, providing hands-on coding with immediate feedback, as emphasized in the README's learning-by-doing philosophy.

Covers over 120 problems across arrays, strings, graphs, trees, sorting, recursion, and more, ensuring a wide range of interview topics are addressed.

Includes spaced repetition flashcards for coding and design concepts, aiding retention and on-the-go study, as highlighted in the README.

Provides fully functional, unit-tested implementations of common data structures (e.g., hash map, trie) and algorithms (e.g., Dijkstra's, sorts), serving as reliable learning aids.

Each solution includes time and space complexity analysis, helping build intuition for algorithmic efficiency, as noted in the README's focus on performance.