What is the difference between multiprocessing and multithreading in Python?

What is the difference between multiprocessing and multithreading in Python?

Multiprocessing involves running multiple processes simultaneously, while multithreading runs multiple threads within a single process. Multiprocessing can take advantage of multiple CPU cores, whereas multithreading is more about concurrent execution within a single core.

When should I use multiprocessing over multithreading?

You should use multiprocessing when your tasks are CPU-bound and require heavy computation. Multithreading is better for I/O-bound tasks, where the program spends time waiting for external resources.

Can you give me an example of when to use each?

Sure! Use multiprocessing for tasks like image processing or data analysis that require significant CPU resources. Use multithreading for tasks like web scraping or handling multiple network requests.

Are there any downsides to using multiprocessing?

Yes, multiprocessing can have higher overhead due to the need to create separate memory spaces for each process. It can also be more complex to manage inter-process communication.