keon/algorithms

This repository is a clean, well-documented collection of data structures and algorithms implemented in Python 3. Data structures are ways of organizing information in memory (like lists, trees, or graphs), and algorithms are step-by-step procedures for solving specific computing problems (like sorting a list, finding the shortest path between two points, or searching for a value efficiently). The project is designed to be read and learned from, not just run. Every file is self-contained with explanations, type annotations (labels that say what kind of data a function expects), and notes on complexity (how fast or slow the solution is as input grows). It covers a broad range of topics: sorting and searching, graphs, trees, dynamic programming (breaking large problems into smaller solved subproblems), backtracking (exploring options and undoing bad choices), string matching, mathematical algorithms, and more. You would use this if you are a student learning computer science fundamentals, a developer preparing for technical job interviews, or someone who wants a reference implementation of a classic algorithm written in clean, readable Python. It is also installable as a package via pip, so you can import individual algorithms directly into your own Python projects. The tech stack is Python 3.