LoopyLuci Python Async Patterns
Implementing async Python — from asyncio patterns through concurrency, async context managers, and async generators.
When to Use
- Writing async Python code
- Managing asyncio tasks and event loops
- Building async APIs and data pipelines
Async Patterns
import asyncio
async def fetch_all(urls):
async with aiohttp.ClientSession() as session:
tasks = [fetch_one(session, url) for url in urls]
return await asyncio.gather(*tasks)
class AsyncCounter:
"""Async context manager pattern."""
def __init__(self, limit): self.limit = limit
async def __aenter__(self): return self
async def __aexit__(self, *e): await self.close()
async def close(self): pass
Verification Checklist
- Async context managers for resources
- Task groups for structured concurrency (Python 3.11+)
- asyncio.gather with return_exceptions=True
- Semaphore for limiting concurrent tasks
- Proper cancellation handling