How does Python asyncio improve performance when handling thousands of concurrent network requests?

Example Concept: Python's `asyncio` uses an event-driven architecture to handle I/O-bound tasks concurrently. It leverages coroutines, which are special functions that can pause and resume execution, allowing other coroutines to run in the meantime. This non-blocking behavior is ideal for network operations, as it reduces idle time and enhances throughput by allowing a single thread to manage multiple connections simultaneously.