I'm having much trouble trying to understand just how the multiprocessing queue works on python and how to implement it. Lets say I have two python modules that access data from a shared file, let'...

Aug 27, 2025 · I have a large array and an object I'd like to call multiple times with multiprocessing. Neither the data nor the object internals get modified. This works: import numpy as np from …

Apr 29, 2019 · Python multiprocessing module includes useful abstractions with an interface much like threading.Thread A must with cPython for CPU-bound processing Cons IPC a little more complicated …

Jun 20, 2017 · Python gets around this issue by simply making multiple interpreter instances when using the multiprocessing module, and any message passing between instances is done via copying data …

Here is a solution to your problem based on a different approach from that proposed in the other answers. It uses message passing with multiprocessing.Queue objects (instead of shared memory …

Dec 1, 2016 · In the example code below, I'd like to get the return value of the function worker. How can I go about doing this? Where is this value stored? Example Code: import multiprocessing def …

I want to profile a simple multi-process Python script. I tried this code: import multiprocessing import cProfile import time def worker(num): time.sleep(3) print 'Worker:', num if __name_...

I am trying to implement multiprocessing in my code, and so, I thought that I would start my learning with some examples. I used the first example found in this documentation. from multiprocessing

Jan 5, 2013 · I know this is late in the game, but if you use a fork of multiprocessing called pathos.multiprocessing, you can pickle class instances easily. If you need to dink with the Queue …

In the Python multiprocessing library, is there a variant of pool.map which supports multiple arguments?