Python development patterns

Idiomatic Python guidance for readability, correctness, tooling, and performance.

When to activate

• Writing new Python modules, scripts, packages, or services
• Reviewing or refactoring Python code
• Choosing structure for tests, tooling, imports, errors, concurrency, or data classes

Core principles (summary)

• Readability — obvious names and flow over cleverness; see patterns-misc.
• Explicit over implicit — clear configuration and imports; minimize hidden side effects.
• EAFP — prefer try / specific exceptions over excessive pre-checking; patterns and pitfalls in patterns-misc.

Reference index