What are some common use cases for Python multiprocessing?

What are some common use cases for Python multiprocessing?

Python multiprocessing is often used for CPU-bound tasks, such as data processing, image processing, and simulations.

Can you give me an example of a CPU-bound task?

Sure! A common example is performing complex mathematical calculations or processing large datasets that require significant CPU resources.

How does multiprocessing improve performance compared to threading?

Multiprocessing can improve performance for CPU-bound tasks because it uses separate memory spaces and can run on multiple CPU cores, avoiding the Global Interpreter Lock (GIL) issue present in threading.

Are there any downsides to using multiprocessing?

Yes, multiprocessing can have higher memory usage and overhead due to the need to create separate processes, which may not be ideal for I/O-bound tasks.