python-patterns

Choosing between FastAPI and Django depends on your project needs: use Django for robust, feature-rich applications and FastAPI for high-performance, asynchronous APIs. This Skill provides decision principles to evaluate framework selection based on your specific requirements.

Use async programming in Python for I/O-bound tasks to handle concurrent operations efficiently, while synchronous operations suit CPU-bound work. This Skill provides decision-making criteria to determine the right approach for maintaining robust and maintainable code.

The best way to organize a Python project structure is by following best practices tailored to your project's size. This Skill offers structural guidance to ensure your development project remains maintainable and clearly organized as it scales.

Implement type hints in Python to improve code clarity and robustness by applying effective typing strategies. This Skill advises on the proper use of type hinting to facilitate informed development decisions and ensure type safety across your application.

Flask supports asynchronous programming, but selecting it for microservices requires evaluating your specific concurrency needs. This Skill provides a decision tree comparing Flask, FastAPI, and Django to guide your asynchronous versus synchronous operations choice.