python-patterns

Choosing the right Python framework involves using a decision tree that evaluates project type and requirements. This guide provides a framework selection decision tree to match your specific project constraints with the optimal architecture.

You should use async patterns in Python when handling I/O-bound operations, and sync patterns for CPU-bound tasks. The guide provides explicit guidance on when to adopt asynchronous programming based on your application's workload characteristics.

Best practices for type hints involve applying them strategically to improve code reliability and maintainability. This skill outlines a type hints strategy to help you enforce type safety without over-complicating your codebase.

Structuring a large Python project requires following specific principles to ensure scalability and maintainability. The guide details project structure principles tailored for scaling from small scripts to large Python applications.

Django 5.0+ supports async features, and best practices involve understanding its asynchronous capabilities. The guide provides an overview of Django 5.0+ async features and principles for effective integration.

The best way to handle background tasks in FastAPI is using a dedicated selection guide for task solutions. This skill provides a background task selection guide and error handling strategies to manage FastAPI dependencies efficiently.