python-best-practices

To enforce PEP 8 coding standards in your Python codebase, this Skill guides the use of formatting tools like black and ruff, ensuring consistent code style, improved readability, and robust maintainability across all development stages.

The recommended way to add type hinting for better Python code clarity is by promoting static analysis and explicit type annotations, which this Skill enforces to improve overall readability and reduce potential type-related runtime errors.

To set up pytest for robust Python testing, this Skill recommends utilizing the pytest framework and mandates a minimum of 80% test coverage to ensure comprehensive quality assurance and validate codebase robustness.

Yes, you can use this Python code review checklist for existing codebases, as it provides a comprehensive review list applicable to all stages of Python development, from writing new code to evaluating and improving established projects.

The best way to handle specific exception types and error messages in Python is to advocate for explicit exception handling, which this Skill enforces to improve error clarity and overall code robustness during execution.