Python multiprocessing performance

Question

This should be my third and final question regarding my attempts to increase performance on some statistical analysis that I am doing with python. I have 2 versions of my code (

Answer 1

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The problem is that multiprocessing uses fork if its available (instead of spawning a new python proccess). Forked process share same env(file descriptors for example). May be it has some locks among them.

Here is some frustration about that: Multiprocessing or os.fork, os.exec?