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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.
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
Categories
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MIT LicenseFollow Python Patterns
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