How do I interpret a Python coverage report?

How do I interpret a Python coverage report?

To interpret a Python coverage report, start by looking at the overall coverage percentage. This indicates how much of your code is tested.

What do the different colors in the report mean?

Typically, green indicates covered lines, while red shows lines that are not covered by tests. Yellow may indicate partially covered lines.

What should I do if my coverage is low?

If your coverage is low, consider adding more tests to cover untested parts of your code, especially critical functions.

Is there a recommended coverage percentage I should aim for?

While there's no strict rule, aiming for 80% coverage is a common goal in many projects.