python-testing-patterns

Pytest fixtures handle setup and teardown by providing a reusable baseline context for your tests. This Skill provides comprehensive guidance on using fixtures for setup and teardown operations, ensuring reliable and maintainable test environments.

Mocking external dependencies during Python testing is best handled by replacing parts of your system with controlled mock objects. This Skill covers advanced mocking techniques and monkeypatching to isolate code behavior and prevent regressions.

Test-driven development with pytest involves writing failing tests before implementing the feature code. This Skill provides comprehensive guidance on implementing test-driven development strategies to ensure code quality when building new Python features.

Yes, you can test asynchronous code using pytest. This Skill explores advanced techniques for async code testing, along with property-based testing and exception testing patterns to verify complex Python applications.

Integration testing should be used when verifying the interaction between multiple components, while unit testing isolates individual functions. This Skill covers unit, integration, and functional testing strategies to help you choose the right approach.