Table of Contents

  • Understanding asyncio

  • Best Practices

Advanced Python Async Programming

December 20, 2023

Elena Vasquez

Master asynchronous programming in Python with asyncio, async/await patterns, and performance optimization techniques.

Python
Async
Programming
Performance
Backend

Asynchronous programming in Python allows you to write concurrent code that can handle multiple operations simultaneously without blocking.

Understanding asyncio

The asyncio library is Python's built-in solution for writing concurrent code using the async/await syntax.

python
3import asyncio
4import aiohttp
5
6async def fetch_data(session, url):
7    async with session.get(url) as response:
8        return await response.text()
9
10async def main():
11    async with aiohttp.ClientSession() as session:
12        tasks = [
13            fetch_data(session, f"https://api.example.com/data/{i}")
14            for i in range(10)
15        ]
16        results = await asyncio.gather(*tasks)
17        return results
18
19# Run the async function
20results = asyncio.run(main())

Best Practices

Always use context managers for resource management and avoid blocking calls in async functions.