Learn how to use async context managers in Python to manage resources like HTTP sessions and database connections in asynchronous applications. This guide covers everything from the basics to advanced patterns with backend examples.

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Discover how async context managers in Python help manage resources such as HTTP sessions and database connections in asynchronous applications. Learn their benefits and implementation techniques with examples in backend services like FastAPI. Avoid common mistakes like blocking calls and unclosed resources to maximize concurrency and resource management efficiency.

Understanding Async Context Managers in Python

Backend Example 1: Managing an Async HTTP Session with aiohttp

Backend Example 2: Async Database Connection Pool

Building Your Own Async Context Manager with contextlib