ludo-technologies/python-best-practices

coding-standards

Python coding standards and best practices covering error handling, performance optimization, async patterns, SOLID design principles, documentation, data validation, and object-oriented programming. Use when writing, reviewing, or refactoring Python code, or…

tooling

Python development tooling configuration and best practices for ruff, mypy, pytest, pyscn, and uv. Use when setting up a Python project, configuring linters, formatters, type checkers, or test frameworks, or when editing pyproject.toml or tool config files.

testing

Python test-writing best practices covering test structure, fixtures, parametrization, and mocking with pytest. Use when writing, reviewing, or refactoring tests, adding test coverage, or working in tests directories and conftest.py.