Comment by xioxox

I use fork a lot in my Python science programs. It's really great - you can stick it in a loop and get immediate parallelism. It's much better than multiprocessing, etc, as you keep the state from just before the fork happened, so you can share huge data structures between the processes, without having to process the same data again or duplicate them. I've even written a module for processing things in forked processes: https://pypi.org/project/forkqueue/