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() or asyncio.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 CancelledError for clean exits.
• Context Managers: Use async with for resources like database connections.