Python Tooling

A comprehensive guide to Python development tools. Configuration best practices for analysis, linters, type checkers, formatters, test frameworks, and package managers.

Why These Tools Matter

To write high-quality Python code, we recommend adopting these tools:

• pyscn - Detect dead code, duplicates, and circular dependencies to prevent technical debt
• ruff - Catch bugs and style violations early with fast static analysis
• mypy - Find errors before runtime with type checking, also improves IDE completion
• pytest - Build confidence in changes with reliable tests
• uv - Improve developer experience with fast dependency management

Integrating these into CI/CD reduces code review burden and maintains consistent quality.

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