Python Patterns & Architecture

关于

The Python Patterns skill transforms Claude into a senior Python architect capable of providing nuanced advice on framework selection, project structure, and performance optimization. Instead of just generating code, it offers structured decision trees to help developers choose between FastAPI, Django, and Flask based on specific use cases like microservices or full-stack applications. It provides deep insights into 2025 best practices, including async vs. sync trade-offs, type hinting strategies, Pydantic validation, and scalable folder structures for everything from simple scripts to enterprise-grade applications.

主要功能

• 0 GitHub stars
• Modern Python type hint strategies and Pydantic validation patterns
• Best practices for background tasks, error handling, and testing
• Framework selection decision trees for FastAPI, Django, and Flask
• Standardized project structure guidance for all application scales
• Async vs Sync performance logic and library recommendations

使用场景

• Implementing robust data validation and type safety across complex backends
• Architecting high-concurrency microservices with FastAPI and async drivers
• Structuring large-scale Django applications using modern async features