pytest

To test asynchronous Python applications, pytest integrates with the pytest-asyncio plugin to execute async test functions. This allows developers to validate asynchronous operations using standard pytest fixtures and assertions.

Yes, you can run pytest tests in parallel using the pytest-xdist plugin. This distributes test execution across multiple CPUs, delivering faster and more repeatable test results for large unit and integration suites.

You measure code coverage during Python testing by integrating the pytest-cov plugin. It reports which code lines your tests execute, ensuring reliable validation of unit and integration test scenarios.

The best way to manage setup and teardown in Python testing is using pytest fixtures. Fixtures provide dependency injection and handle initialization and cleanup, ensuring repeatable test results across unit and integration tests.

You parameterize Python tests using pytest's built-in parametrize feature to run a single test function against multiple input sets. This scales test coverage efficiently without duplicating test code.

You can configure pytest conventions and discovery rules through pyproject.toml. Enforcing configuration options in this file ensures consistent test execution and plugin behavior across your testing environment.