Summary
- Comprehensive testing strategies for Python using pytest, fixtures, mocking, and test-driven development.
- Covers unit, integration, functional, and performance testing with the AAA pattern (Arrange, Act, Assert) for test structure Includes 10 fundamental and advanced patterns: basic tests, fixtures with setup/teardown, parameterization, mocking, exception handling, async testing, monkeypatching, temporary files, custom fixtures, and property-based testing Provides test design principles, naming conventions, database testing, retry logic, time control with freezegun, markers, and coverage reporting Includes CI/CD integration examples and configuration files (pytest.ini, pyproject.toml) for standardized test execution