async-python-patterns

SKILL.md

Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.

Before adopting async, consider whether it's the right choice for your use case.

| Many concurrent network/DB calls | asyncio | | CPU-bound computation | multiprocessing or thread pool | | Mixed I/O + CPU | Offload CPU work with asyncio.tothread() | | Simple scripts, few connections | Sync (simpler, easier to debug) | | Web APIs with high concurrency | Async frameworks (FastAPI, aiohttp) |

Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations. Source: pv-udpv/pplx-sdk.

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