jcorpac Python AsyncIO Flow
asyncio allows Python to handle thousands of concurrent connections efficiently. This skill avoids common pitfalls like blocking the event loop.
Core Concepts
- Awaitables: Coroutines, Tasks, and Futures.
- The Event Loop: The engine that drives async execution.
- Running Concurrently: Using
asyncio.gather()orasyncio.TaskGroup.
The "Golden Rule"
Never run blocking code in an async function.
Use run_in_executor() for CPU-bound or blocking I/O (like standard requests) if async alternatives (like httpx or aiohttp) are unavailable.
Best Practices
- Timeouts: Always use
asyncio.wait_for()to prevent hung tasks. - Graceful Shutdown: Handle
CancelledErrorfor clean exits. - Context Managers: Use
async withfor resources like database connections.