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What reasons allow avoiding endpoint blocking when using asynchronous operations in Python?

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Answer from AI

Asynchronous operations in Python allow avoiding blocking endpoints (such as web servers) through non-blocking input/output and parallel task execution.

Reasons that enable avoiding blocking:

  • Using async/await allows launching input/output operations (such as database queries, network calls) without blocking the main thread.
  • Asynchronous frameworks (such as asyncio, FastAPI, aiohttp) handle multiple requests simultaneously, switching between tasks when one is waiting for an operation to complete.
  • This increases server performance and responsiveness, as it does not idle while waiting for long operations to finish.

Example:

import asyncio

async def handle_request():
    await asyncio.sleep(1)  # simulate a long operation
    return "Response"

async def main():
    tasks = [handle_request() for _ in range(10)]
    results = await asyncio.gather(*tasks)
    print(results)

asyncio.run(main())