python-testing

Comprehensive pytest testing strategies with TDD, fixtures, mocking, and coverage best practices. 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. - Covers TDD methodology (red-green-refactor cycle), parametrization, fixtures with multiple scopes, and mocking patterns for unit and integration testing - Includes pytest fundamentals: assertions, markers for test selection, exception testing, and async test support with pytest-asyncio - Provides practical patterns for testing APIs, databases, file operations, and class methods with real code examples - Emphasizes 80%+ code coverage targets, test organization by directory structure, and best practices for independent, maintainable tests - 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...