for loop multiprocessing python

Certainly! Multiprocessing in Python allows you to execute multiple processes concurrently, taking advantage of multiple CPU cores to speed up the execution of tasks. The multiprocessing module in Python provides support for creating and managing processes.
In this tutorial, I'll walk you through an example of using the multiprocessing module with for loops to perform parallel processing.
Let's say we have a time-consuming task that involves iterating through a large list and performing some operation on each element. We'll simulate this with a simple task of calculating the square of numbers in a list.
Here's an example using a for loop for sequential execution:
Now, let's leverage multiprocessing to parallelize this task and speed up the process using the multiprocessing module:
In this updated code:
Remember to encapsulate the main functionality within the if __name__ == "__main__": block in Python to ensure proper execution when using multiprocessing.
Feel free to replace the example task with your own time-consuming operations for experimenting with multiprocessing in Python.
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