docstring-conventions

To enforce Google-style docstrings in Python code, apply structured guidelines to functions, classes, methods, and modules. Each public entity requires specific sections like Args, Returns, Raises, and Examples to improve readability and consistency.

Google-style Python docstrings require Args, Returns, Raises, and Examples sections for functions, and Attributes and Examples for classes. A concise module docstring is also required to ensure comprehensive documentation across the codebase.

Yes, you can use this approach to enforce documentation standards during CI and code reviews. Standardizing docstring structures for public entities ensures consistent code quality and smoother onboarding for development teams.

Yes, this approach applies to both functions and classes in Python. It targets functions, classes, methods, and modules, requiring structured sections like Attributes for classes and Args or Returns for functions to maintain codebase consistency.

The best way to document Python modules for better onboarding is to include a concise module docstring alongside structured guidelines for all public functions and classes, ensuring clear usage examples and consistent error handling documentation.

You need structured docstrings in your Python codebase to improve readability, consistency, and onboarding. Standardizing sections like Args, Returns, and Raises provides clear usage examples and error handling for public entities.