python-patterns

Choosing between FastAPI, Django, and Flask depends on your project's async requirements, need for a built-in admin interface, and team familiarity. This Skill evaluates those factors to guide framework selection for robust, maintainable applications.

Use asynchronous programming in Python when your application handles high-concurrency I/O operations. This Skill provides clear criteria for deciding between async and sync patterns based on your specific project needs and architecture.

The best way to structure a Python API-first microservice is by applying principles for organizing projects of varying sizes. This Skill offers project structure guidance and facilitates informed decisions for building maintainable applications.

Type hinting strategies and Pydantic improve Python code by enabling robust validation and clearer contracts. This Skill explains effective strategies for using type hints to build maintainable Python applications.

You need an admin interface if your project requires built-in data management, which Django provides out of the box. This Skill helps you evaluate framework features like admin interfaces against your actual project requirements.