How does asynchronous programming help manage task execution in Python?

Asynchronous programming in Python allows multiple tasks to run concurrently without blocking the main thread. This is especially useful for input/output operations (such as network requests, file reading) that typically involve waiting.

Using the keywords async and await, you can write code that pauses the execution of a function until an asynchronous operation completes, while still allowing other tasks to run in parallel. This increases resource efficiency and improves application responsiveness.

Example:

import asyncio

async def fetch_data():
    print('Starting download')
    await asyncio.sleep(2)  # simulate delay
    print('Data loaded')

async def main():
    await asyncio.gather(fetch_data(), fetch_data())

asyncio.run(main())

In this example, two fetch_data tasks run simultaneously, saving time compared to sequential execution.