How to Use Python’s `selectors` Module for Efficient I/O Multiplexing

Handling multiple I/O operations concurrently in Python often leads developers to threading or asyncio. But for lower-level, high-performance needs — like building lightweight network servers or event-driven applications — Python’s selectors module offers a simple yet powerful tool for I/O multiplexing. Let’s dive into how it works and how you can apply it in real-world scenarios.

Apr 17, 2025 - 01:26

How to Use Python’s `selectors` Module for Efficient I/O Multiplexing

Handling multiple I/O operations concurrently in Python often leads developers to threading or asyncio. But for lower-level, high-performance needs — like building lightweight network servers or event-driven applications — Python’s selectors module offers a simple yet powerful tool for I/O multiplexing. Let’s dive into how it works and how you can apply it in real-world scenarios.