python-testing-patterns

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Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.

Testing & QA 39,350 stars 6386 forks Updated today MIT

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Skill Content

# Python Testing Patterns Comprehensive guide to implementing robust testing strategies in Python using pytest, fixtures, mocking, parameterization, and test-driven development practices. ## Use this skill when - Writing unit tests for Python code - Setting up test suites and test infrastructure - Implementing test-driven development (TDD) - Creating integration tests for APIs and services - Mocking external dependencies and services - Testing async code and concurrent operations - Setting up continuous testing in CI/CD - Implementing property-based testing - Testing database operations - Debugging failing tests ## Do not use this skill when - The task is unrelated to python testing patterns - You need a different domain or tool outside this scope ## Instructions - Clarify goals, constraints, and required inputs. - Apply relevant best practices and validate outcomes. - Provide actionable steps and verification. - If detailed examples are required, open `resources/implementation-playbook.md`. ## Resources - `resources/implementation-playbook.md` for detailed patterns and examples.

Details

Author
sickn33
Repository
sickn33/antigravity-awesome-skills
Created
4 months ago
Last Updated
today
Language
Python
License
MIT

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