python-patterns

Pythonic idioms are language-native patterns like EAFP and context managers that improve code readability and maintainability. Adopting them ensures scripts use specific exception handling and clear import ordering for robust execution.

To add type hints, implement modern typing strategies like Protocol-based duck typing and TypeVar. This approach enables gradual typing across modules, making interfaces robust and easier to review without breaking existing code.

The best way to structure a Python project layout involves configuring __init__ exports and integrating formatting, linting, testing, and type-checking tools. Proper packaging layout ensures maintainable and reliable library distribution.

Review and refactor Python code by applying concurrency strategies using async/await, threads, or processes, alongside memory optimizations. Request a prioritized list of improvements to transition from blocking scripts to efficient generators.

Use EAFP error handling and context managers in Python when managing resources and specific exceptions. These patterns prevent resource leaks and clarify error chaining, making code more reliable than pre-checking conditions.