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 areas, 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 and configuring your CI/CD tool to run these scripts.
What tools can I use for coverage in Python?
Popular tools include Coverage.py, pytest-cov, and Codecov, which provide detailed reports and insights.
Is there a specific coverage percentage I should aim for?
While there's no one-size-fits-all percentage, aiming for 80% coverage is a common goal, but focus on critical code paths.
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