I have a function process_file which takes a file name as input, processes the input, then saves the output.

It is common in python multiprocessing to use if __name__ == "__main__". However, if I know my child process does not need anything from __main__ module, can I remove this part? e.g.

I have different python classes and all of them having a method called push. What I am trying to is

I’m trying to create a way to pass a dataclass object to several different child processes using the Multiprocessing module. Right now I’ve tried:

I would like to enhance question from “/questions/78538034/in-python-how-do-i-pass-local-variable-values-to-multiprocessing-librarys-pool?noredirect=1#comment138458954_78538034”

I have been trying to learn multiprocessing. I wanted to test my understanding by making a little program that would generate a list of random numbers. Then make two different methods to find the largest number in the list. The first method not using multiprocessing and the second using multiprocessing. However when I run the code the runtime is always hundreds of times slower when I use the multiprocessing code regardless of the length of the list.

I have struggle with using multiprocessing lib in Python, where I want to use Pool.

I am a new user. I have some problems when I set num_workers on windowns. I received the following notification

I am implementing a function to convert a document to a pdf file of my Pyside6 project. I managed to do, however the program runs sequentially instead of in parallel, which means I can speed up the conversion process. For this I am using mpire with dill, because pickle can’t process something in the library I am using, but dill managed to.
So, the problem is that when I run WorkerPool, my program is executed from the beginning (start from main.py) instead of the process_object_of_project_pages_objects() function I specified. I don’t need this, because otherwise the code will generate errors related to the fact that initially the project for my program will not be selected, and therefore the database will not be created/selected (sqlite3.OperationalError: no such table: Project_pages_data).

I’m just starting out with multiprocessing in Python.
I use multiprocessing.queues in my program that I pass from process to process.
The problem is that when I use myprocess.join(), it only terminates when the queue I’m writing to is empty.
So I’m wondering what the reason is, why it’s built that way and how to get around it. I can empty all my queues in my main process, but I’d like it better.