Rather, you want to launch processes or threads that make use of all those cores, if possible. For parallelism, Python offers multiprocessing, which launches multiple instances of the Python ...

And while you can use Python’s built-in threading module to speed things up, threading only gives you concurrency, not parallelism. It’s good for running multiple tasks that aren’t CPU ...