asyncio parallel execution

Leverage asyncio.gather or TaskGroups to manage multiple non-blocking I/O operations within a single-threaded event loop.

Asyncio parallel execution (specifically concurrency) allows Python developers to fire off thousands of network requests or disk operations simultaneously without waiting for each to finish. By using asyncio.gather or the newer Python 3.11 TaskGroup API, you wrap coroutines into Tasks that the event loop schedules efficiently. This approach eliminates the heavy overhead of OS threads while maintaining high throughput for I/O-bound workloads (like scraping 500 URLs in seconds). It is the standard for modern, scalable Python networking.

https://docs.python.org/3/library/asyncio-task.html#running-tasks-concurrently