Steven D'Aprano <st...@pearwood.info>: > On Wed, 17 Feb 2016 01:17 am, Marko Rauhamaa wrote: > >> Ok, yes, but those "background tasks" monopolize the CPU once they are >> scheduled to run. > > Can you show some code demonstrating this?
Sure: ======================================================================== #!/usr/bin/env python3 import asyncio, time def main(): asyncio.get_event_loop().run_until_complete(asyncio.wait([ background_task(), looping_task() ])) @asyncio.coroutine def looping_task(): while True: yield from asyncio.sleep(1) print(int(time.time())) @asyncio.coroutine def background_task(): yield from asyncio.sleep(4) t = time.time() while time.time() - t < 10: pass if __name__ == '__main__': main() ======================================================================== which prints: 1455642629 1455642630 1455642631 1455642642 <============== gap 1455642643 1455642644 1455642645 Marko -- https://mail.python.org/mailman/listinfo/python-list