What are the benefits of using multiprocessing in Python?

What are the benefits of using multiprocessing in Python?

Multiprocessing in Python allows you to run multiple processes simultaneously, which can significantly improve performance, especially for CPU-bound tasks.

Can you give me some examples of when to use it?

Sure! It's great for tasks like data processing, image manipulation, or any computation-heavy operations where you want to utilize multiple CPU cores.

Are there any downsides to using multiprocessing?

Yes, multiprocessing can introduce complexity in code, and it may have higher memory usage compared to threading due to separate memory spaces.

How does it compare to multithreading?

Multiprocessing uses separate memory spaces and is better for CPU-bound tasks, while multithreading shares memory and is more suitable for I/O-bound tasks.

What libraries can I use for multiprocessing in Python?

You can use the built-in multiprocessing module, as well as libraries like concurrent.futures and joblib for easier parallel execution.