How to use multiprocessing in a minimax function in python?

Question

I'm trying to create a chess engine. It works, but it is very slow because it is running on a single thread. Is there a way to use multiprocessing to speed up my minimax search? I have tested, and recusrion does work with multiprocessing.

I tried using Processes and Queues. Here I expect for it to be spitting out evaluations very quickly. But I get nothing. I have waited for hours with no output.

minmaxProcess = Process(target=minimax, args=(depth - 1, board, -float("inf"), float("inf"), not maximize))
minmaxProcess.start()
value = minmaxQueue.get()
minmaxQueue.empty()
minmaxProcess.join()

I'm using a basic minimax function with alpha-beta pruning. My minimax function would be called minimax(depth, board, alpha, beta, maximize)

The full code can be found in test.py on the Github .