> Please consider this situation :
> Each line in "massive_input.txt" need to be churned by the
> "time_intensive_stuff" function, so I am trying to background it.
>
> import threading
>
> def time_intensive_stuff(arg):
> # some code, some_conditional
> return (some_conditional)
>
> with open("massive_input.txt") as fobj:
> for i in fobj:
> thread_thingy = thread.Threading(target=time_intensive_stuff, args=(i,)
> )
> thread_thingy.start()
>
>
> With above code, it still does not feel like it is backgrounding at
> scale, I am sure there is a better pythonic way.
You might be looking for the multiprocessing library:
https://docs.python.org/3.6/library/multiprocessing.html.
Can you say more about the nature of the "time_intensive_stuff" part
though? More context may help.
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