good-python

What problem does it solve?

This guideline set helps developers write clear, maintainable, and test-backed Python code, reducing technical debt and increasing reproducibility across projects.

Core Features & Use Cases

• Explicit behavior: Encourage code that makes decisions and outcomes clear instead of hidden magic.
• Small, test-backed steps: Promote incremental changes with tests or verifiable reproduce cases.
• Removal of dead, obscured code: Guide pruning of unclear blocks to reduce future confusion.
• Documentation that teaches why: Emphasize explanations that help future maintainers. These guidelines are applicable to everyday scripting, data science prototypes matured into real projects, and educational contexts for junior developers who need reliable patterns.

Quick Start

Provide a minimal, testable plan to improve a given Python function by clarifying intent and adding a basic test.