python-testing

To write effective Python unit tests using pytest, leverage fixtures for setup, parametrization for data-driven testing, and robust assertions. This ensures code reliability and maintainability throughout the development lifecycle.

Test-Driven Development (TDD) in Python follows the red-green-refactor cycle: write a failing test first, implement the minimal code to make it pass, and then refactor the code to improve structure while maintaining passing tests.

The best way to mock external dependencies in Python tests is using the unittest.mock module to patch objects and simulate side effects, allowing you to isolate the specific code being tested without triggering real external calls.

Yes, you can test asynchronous Python code with pytest by utilizing the pytest-asyncio plugin, which provides dedicated support for executing and managing asynchronous test functions and coroutines effectively.

You handle expected exceptions in pytest by using the pytest.raises context manager around the code block, allowing the test to pass successfully when the specified exception is thrown and fail if it is not raised.