Simulating Paralel Processing in Python using AsyncIO

from time import sleep, time import asyncio def delay(seconds): """ A normal function that simulates a blocking operation. """ print(f"Starting delay for {seconds} seconds.") sleep(seconds) print(f"Finished delay for {seconds} seconds.") return f'sleep for {seconds} second(s)' async def main(): start_time = time() loop = asyncio.get_running_loop() # Schedule the blocking functions to run in the default thread pool executor  # run_in_executor returns a future that we can await  tasks = [loop.run_in_executor(None, delay, seconds) for seconds in [3, 6, 9]] # Now we await all the tasks to run concurrently  print("Waiting for all tasks to complete...") results = await asyncio.gather(*tasks) print(f'results: ', str(results)) end_time = time() print("\n--- All tasks are done! ---") print(f"Results: {results}") print(f"Total time: {end_time - start_time:.2f} seconds") if __name__ == "__main__": asyncio.run(main())