How Python multiprocessing works In the above example, the concurrent.futures module provides high-level pool objects for running work in threads ( ThreadPoolExecutor ) and processes ...

Disadvantages of Python multiprocessing. Multiprocessing has two distinct downsides. ... The Pool object in Listing 3 can work like this: Once set up, we can submit jobs to it as needed, ...

Python's "multiprocessing" module feels like threads, but actually launches processes. Many people, when they start to work with Python, are excited to hear that the language supports threading. And, ...