The Python threading package involves a number of constructs helpful for building imperative applications. This module is not focused on writing functional applications. We can make use of thread-safe queues in the queue module to pass objects from thread to thread.
The threading module doesn't have a simple way of distribuing work to various threads. The API isn't ideally suited to functional programming.
As with the more primitive features of the multiprocessing module, we can try to conceal the stateful and imperative nature of locks and queues. It seems easier, however, to make use of the ThreadPoolExecutor method in the concurrent.futures module. The ProcessPoolExecutor.map() method provides us with ...
