python-async-concurrency

What problem does it solve?

As Python scales with asynchronous I/O, many developers struggle to implement efficient concurrency across API clients, scrapers, and background tasks. This skill provides patterns and practices to write responsive, non-blocking code using asyncio, aiohttp, and httpx.

Core Features & Use Cases

• Asyncio basics and task orchestration with TaskGroup for robust error handling.
• Efficient HTTP clients with reusable sessions using httpx AsyncClient or aiohttp ClientSession.
• Real-world use cases include FastAPI services, bots, and data scrapers requiring high concurrency.

Quick Start

Create a simple async main function and run it with asyncio.run(main()) to observe concurrent tasks in action.