I tend to use threads for simple I/O cases, not as an optimization per se. For example, I have an image processing library thanks to which I can do a simple ima

I tend to use threads for simple I/O cases, not as an optimization per se. For example, I have an image processing library thanks to which I can do a simple image.save(), but since I don't want to sit idle for milliseconds until it returns I have a thread pool run it. Same thing if I have an expensive operation and I want the GUI to keep responding. Then again, I'll confess that I am not much of a Python user either and multiprocessing may be a sufficient answer.