python-best-practices

Modern Python development best practices recommend using a src layout for better organization and import management. This structure ensures robust and maintainable codebases by cleanly separating source code from tests and configuration files.

Set up a Python project using uv for fast, reproducible dependency management and locking, while integrating ruff for linting and formatting. This modern tooling combination establishes robust codebases and enforces best practices.

FastAPI works seamlessly with strict type checking using mypy and Pydantic for data validation. Enforcing modern type hinting practices improves code clarity and safety when building robust APIs with FastAPI.

The best way to test asynchronous Python code is using pytest with dedicated async tests and mocking strategies. Effective testing with pytest ensures maintainable and reliable modern Python codebases.

You should use uv for Python dependency management to achieve fast and reproducible environment locking. It solves challenges of maintaining high-quality codebases by ensuring consistent dependency resolution across different environments.

Building Python APIs requires highlighting essential security practices to prevent common vulnerabilities. Modern Python development best practices integrate these security considerations directly into the workflow alongside linting and strict type checking.