Python Development Patterns

Idiomatic Python patterns and best practices for building robust, efficient, and maintainable applications.

When to Activate

• Designing Python package structure and module boundaries
• Choosing between dataclasses, Pydantic models, and TypedDicts for a data structure
• Applying idiomatic Python (list comprehensions, generators, context managers, decorators)
• Setting up type hints and mypy for a new module or existing codebase
• Structuring a Python service with dependency injection or hexagonal architecture
• Deciding when to use ABCs vs protocols for interface design

Core Principles

1. Readability Counts

Python prioritizes readability. Code should be obvious and easy to understand.