standards-python

To enforce Python coding standards across multiple projects, you can apply this skill to codify naming conventions, type hints, and tooling guidance. It targets Python ecosystems like FastAPI, Django, and Flask to promote code quality and maintainability.

Best practices for Python naming conventions include using snake_case for functions and variables, and PascalCase for classes. Applying these coding guidelines ensures uniform style and readability across modules and tests in frameworks like FastAPI and Django.

Yes, this Python standards skill works with Poetry and Asyncio environments. It specifically targets these ecosystems to provide tooling guidance and enforce typing expectations and recommended best practices across your projects.

You integrate Python linting and type hint standards into a CI workflow by referencing this skill in your tooling. This allows you to start coding with consistent conventions immediately, ensuring uniform style across modules and tests.

The recommended approach to standardize Python code style in an existing codebase is applying this skill to enforce consistent naming conventions and typing expectations. This promotes code readability and maintainability across all modules.

These Python coding guidelines cover frameworks and tools including FastAPI, Django, Flask, PyTest, Pydantic, SQLAlchemy, Celery, Poetry, Asyncio, Aiohttp, and Httpx to comprehensively promote code quality and maintainability.