Multiprocessing is a standard Python module that targets machines with multiple processors. Multiprocessing works around the Global Interpreter Lock (GIL) by creating multiple processes.
The GIL locks Python bytecode so that only one thread can access it.
Multiprocessing supports process pools, queues, and pipes. A process pool is a pool of system processes that can execute a function in parallel. Queues are data structures that are usually used to store tasks. Pipes connect different processes in such a way that the output of one process becomes the input of another.
Windows doesn't have an
os.fork() function, so we need to make sure that outside the
if __name__ == "__main__" block only imports ...