python-testing

To test asynchronous Python code using pytest, you utilize specific pytest features designed for async testing. This Skill guides you through writing and executing tests for asynchronous functions to ensure code reliability and quality.

The best way to apply test-driven development with pytest is following the Red-Green-Refactor cycle. This Skill outlines the TDD methodology to help you write a failing test, implement minimal code to pass, and refactor.

To isolate code and mock external dependencies in Python testing, you use mocking and patching techniques. This Skill provides comprehensive guidance on effectively isolating code to test external dependencies without direct network calls.

Pytest fixtures are functions that provide a fixed baseline for your tests, ensuring maintainable and efficient test suites. This Skill covers pytest fundamentals including fixtures, parametrization, and markers for optimal test organization.

Yes, pytest parametrization helps with running multiple test cases efficiently by allowing you to execute the same test logic across different inputs. This Skill details how to use parametrization alongside markers for better test organization.