Grokking Algorithms is a code repository accompanying an algorithms textbook that provides implementations of core algorithmic concepts across multiple programming languages.
The repository exists to support learning by offering working code examples for the algorithms and data structures covered in the book. Each example is written to prioritize clarity and conceptual understanding over performance or advanced techniques. The repository also includes high-resolution images from the book, available for non-commercial educational use such as teaching materials and presentations.
This repository suits anyone working through the Grokking Algorithms book who wants to see concrete implementations of the concepts being taught. It is particularly valuable for learners who benefit from reading and tracing through actual code while studying algorithm fundamentals. The examples are intentionally kept simple and readable rather than optimized, making them suitable for educational contexts where understanding the core logic matters more than production efficiency.
The maintainer responds more reliably to pull requests than to issues and welcomes contributions that fix errors, add implementations in new languages, modernize existing code for language evolution, or improve readability. The maintainer explicitly discourages stylistic changes and is unlikely to merge pull requests that introduce complex optimizations, since the repository's primary purpose is to maintain clear, understandable examples. Response times to pull requests are slow, though the maintainer acknowledges this and continues working through submissions over time.
