What are the best practices for using coverage in Python?
An example of an AI chatbot conversation about Python coverage best practices.
What are the best practices for using coverage in Python?
Some best practices include using coverage to measure code quality, focusing on critical code paths, and integrating it with CI/CD.
How can I integrate coverage with my CI/CD pipeline?
You can integrate coverage by adding it to your testing scripts in your CI/CD configuration, ensuring it runs with your tests.
What tools can I use to visualize coverage reports?
You can use tools like Coverage.py, Codecov, or Coveralls to visualize your coverage reports effectively.
Is there a recommended coverage percentage I should aim for?
While there's no strict rule, aiming for 80% coverage is a common target, but focus on covering critical areas first.
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