What are the best practices for code coverage in Python?
An example of an AI chatbot conversation about Python code coverage best practices.
What are the best practices for code coverage in Python?
Some best practices include aiming for 80% coverage, focusing on critical code paths, and using tools like pytest-cov.
Why is 80% coverage considered a good target?
80% coverage is a balance; it indicates sufficient testing without being overly burdensome to maintain.
What tools can I use to measure code coverage?
You can use tools like coverage.py, pytest-cov, and unittest's built-in coverage features.
How can I improve my code coverage?
You can improve coverage by writing tests for edge cases, refactoring complex code, and regularly reviewing test results.
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