Python Backend Patterns
Builds high-performance, asynchronous Python services using FastAPI, SQLAlchemy 2.0, and modern asyncio patterns.
This skill provides a comprehensive suite of production-ready patterns for developing scalable Python backends. It focuses on structured concurrency with asyncio TaskGroups, optimized database interactions using SQLAlchemy 2.0 async sessions, and robust FastAPI service architectures. By enforcing best practices like dependency injection, connection pooling tuning, and anti-pattern prevention, it ensures your backend services are thread-safe, efficient, and ready for high-concurrency production environments.
主な機能
01FastAPI production setup with Lifespan management and dependency injection.
02Automated enforcement of async best practices to prevent event loop blocking.
03Detailed connection pooling configurations for databases and HTTP sessions.
04116 GitHub stars
05Modern asyncio patterns leveraging TaskGroups and structured concurrency.
06SQLAlchemy 2.0 async integration with N+1 query prevention and repository patterns.
ユースケース
01Architecting high-concurrency RESTful APIs with FastAPI and PostgreSQL.
02Optimizing database performance and connection management in distributed services.
03Migrating synchronous Python codebases to modern asynchronous architectures.