What are the performance benchmarks for Python async programming?

What are the performance benchmarks for Python async programming?

Python async programming can significantly improve performance, especially in I/O-bound tasks. Benchmarks show that it can handle thousands of concurrent connections efficiently.

How does it compare to traditional threading?

Async programming generally uses less memory and can be more efficient than traditional threading, especially for I/O-bound operations. However, for CPU-bound tasks, threading might still be preferable.

Can you provide some specific benchmark results?

Sure! For example, in a web server scenario, async frameworks like FastAPI can handle up to 10,000 requests per second, while traditional Flask might handle around 1,000.

What tools can I use to measure these benchmarks?

You can use tools like asyncio, aiohttp, and benchmarking libraries like locust or wrk to measure performance in async applications.