I have a parent class in Python that can start a process in a child class. The child class has a multiprocessing.Process that changes some variables. I would expect changes to be visible for the parent class since the object is created there, but somehow, the variables are not shared. The process is started as a fork.

I’m trying to make it so that I can click and move the mouse to do different things at the same time. An example would be this where I want to get the mouse to draw 2 boxes at the same time. No, I can’t draw them separately one by one.

I have a Python script that performs several tasks that can be executed in parallel. Currently, I’m using the multiprocessing.Pool to manage these tasks, but I was wondering if there’s a more automatic way to implement multiprocessing in Python without manually setting up and managing pools.

I have a 5 workers (“Processors”) that are supposed to process a 100 arguments (maybe in some sort of Queue ?), using a specific method (process()). I want the 5 “processors” to be executed in parallels. I reasearched both concurrent.futures and multiprocessing, but cannot find any example like this

I understand that multithreading is optimal for i/o bound problems and multiprocessing is optimal for cpu bound problems. I also understand that multiprocessing proceeded multithreading and I want to understand the motivation for why multithreading is necessary.