Python Concurrency: Threads, Processes, and Asyncio – A Deep Dive
2025-01-08
This article summarizes the strengths and weaknesses of three approaches to Python concurrency: threads, processes, and asyncio. Threads share resources and are easy to use, but are limited by the GIL; processes have independent memory spaces, bypassing the GIL but with higher overhead; asyncio uses a single-threaded event loop, efficiently handling I/O-bound tasks, but requires non-blocking operations and has a steeper learning curve. The choice depends on the task type: CPU-bound tasks favor processes, I/O-bound tasks favor asyncio, and threads are suitable for other cases.