aima-python is a Python implementation of algorithms from Russell and Norvig's "Artificial Intelligence: A Modern Approach" textbook.
The project provides working code for the algorithms presented in the book, allowing students and practitioners to study AI concepts through executable implementations. It serves as a companion resource for courses using the textbook or for self-directed learning. The code is organized into modules corresponding to the book's chapters, with implementations of classical AI algorithms alongside Jupyter notebooks that demonstrate their use and behavior.
The tool suits anyone learning from the textbook who wants to see algorithms in action rather than just reading pseudocode. It works well for students in AI courses, researchers prototyping ideas, and developers building intuition about how standard algorithms behave. The project has transitioned to focus exclusively on the fourth edition of the book, consolidating implementations that previously existed in separate third and fourth edition variants into single canonical versions per module.
The project maintains active test coverage and documentation workflows. Development is organized around alignment with the book's fourth edition content, with new algorithms and fixes following the book's pseudocode and numbering rather than maintaining parallel implementations for older editions. The codebase has modernized its Python version requirements to support current language versions. The project actively seeks contributors and provides guidelines for participation.
