Computer Science in JavaScript is a collection of classic computer science paradigms, algorithms, and approaches implemented in JavaScript.
The project addresses the need to understand foundational computer science concepts through practical JavaScript implementations. It provides working code for data structures like linked lists and binary search trees, along with sorting algorithms and other classic approaches. Each implementation is accompanied by detailed blog posts that explain the underlying concepts and design decisions, making it a learning resource as much as a code reference.
This project suits developers who want to deepen their understanding of computer science fundamentals or refresh their knowledge of algorithms and data structures. It works well for those learning JavaScript who benefit from seeing how classic patterns translate to the language, or for interview preparation. The implementations use modern JavaScript features, so the code reads naturally to contemporary developers rather than relying on older patterns.
The project maintains two parallel versions: the original 2009 implementations available on a separate branch, and updated versions on the main branch that use modern ECMAScript features. The codebase includes a test suite for implementations and is organized with source code in a dedicated directory alongside tests. Updates to implementations are gradual, with older code in separate folders awaiting modernization as the maintainer works through the collection systematically.
