What is test coverage in Python and why is it important?

What is test coverage in Python and why is it important?

Test coverage in Python refers to the measure of how much of your code is tested by your test cases. It's important because it helps identify untested parts of your code, ensuring that your application behaves as expected and reducing the likelihood of bugs.

How can I measure test coverage in my Python project?

You can measure test coverage in Python using tools like coverage.py. It tracks which lines of code are executed during your tests and generates a report.

Can you show me a simple example of using coverage.py?

Sure! First, install it using pip install coverage. Then, run your tests with coverage run -m unittest discover. Finally, generate a report with coverage report.

What is considered good test coverage?

A good test coverage percentage is often considered to be around 70-80%, but it's more important to focus on covering critical parts of your code rather than just aiming for a high percentage.