Fake-Driven Testing for Python

Provides a comprehensive guide to a defense-in-depth testing strategy for Python, centered on using fast, in-memory fakes for the majority of tests. This skill outlines a five-layer testing architecture, from unit tests of fakes to full business logic integration tests, helping developers write robust, fast, and maintainable test suites. It is particularly useful when adding features, fixing bugs, or modifying gateway layers, ensuring high-quality testing practices are followed throughout the development lifecycle.

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