python-testing

Comprehensive testing strategies for Python applications using pytest, TDD methodology, and best practices. Always follow the TDD cycle: Remember : Tests are code too. Keep them clean, readable, and maintainable. Good tests catch bugs; great tests prevent them. - Writing new Python code (follow TDD: red, green, refactor) - Designing test suites for Python projects - Reviewing Python test coverage - Setting up testing infrastructure - RED : Write a failing test for the desired behavior - GREEN : Write minimal code to make the test pass - REFACTOR : Improve code while keeping tests green - Target : 80%+ code coverage - Critical paths : 100% coverage required - Use pytest --cov to measure coverage - Follow TDD : Write tests before code (red-green-refactor) - Test one thing : Each test should verify a single behavior - Use descriptive names : test_user_login_with_invalid_credentials_fails - Use fixtures : Eliminate duplication with fixtures - Mock external dependencies : Don't depend on external services - Test edge cases : Empty inputs, None values, boundary conditions - Aim for 80%+ coverage : Focus on critical paths - Keep tests fast : Use marks to separate slow tests - Don't test implementation : Test behavior, not internals - Don't use complex conditionals in tests : Keep tests simple - Don't ignore test failures : All tests must pass - Don't test third-party code : Trust...