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Python-Patterns is a repository collecting implementations of many classical design patterns and idioms, written in Python. It serves as an educational resource: showing how to implement creational, structural, behavioral, testability, and other patterns in a Pythonic style (or sometimes less so), illustrating trade-offs, different styles, and use cases. It’s intended for learners or developers interested in software architecture or design, rather than as a production library. Includes pattern examples for testability, delegation, flyweight, proxy, etc., plus patterns outside the classical set (registry, specification, etc.) Each pattern has readable example code, often in its own module/file, sometimes showing more than one implementation style.
Features
- Implements many “Gang of Four” style creational, structural, and behavioral patterns (factory, builder, adapter, facade, observer, etc.) with illustrative code
- Includes pattern examples for testability, delegation, flyweight, proxy, etcetera, plus patterns outside the classical set (registry, specification, etc.)
- Each pattern has readable example code, often in its own module/file, sometimes showing more than one implementation style
- Comes with tests/examples, making it possible to run or inspect behavior; includes tests directory and CI integration / linting etcetera
- Simple dependencies: mostly pure Python; geared toward clarity/education rather than performance or heavy dependencies
- Good documentation in README; especially helpful for comparing alternative implementations of similar patterns, idiomatic vs less-idiomatic code etcetera
Project Samples
