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Hi all,

I want to create a couple of schedule jobs that uses multiprocessing. Will each schedule job use the same amount of CPU processes, e.g. First Schedule Job uses 8 cores, and Second Schedule uses 8? Or does it split the cores between each job? Reason is because I'm processing a lot of data and want to split it up to speed up the time.

Your scheduled tasks will all be running on the same machine, sharing the same CPU cores. They'll also be sharing those cores with other PythonAnywhere users -- the kind of server where they run costs us several hundred dollars a month to provide, so they are shared between many accounts.