Functional Python Programming

Using multiprocessing pools and tasks

To make non-strict evaluation available in a larger context, the multiprocessing package introduces the concept of a Pool object. We can create a Pool object of concurrent worker processes, assign tasks to them, and expect the tasks to be executed concurrently. As noted previously, this creation does not actually mean simultaneous creation of Pool objects. It means that the order is difficult to predict because we've allowed OS scheduling to interleave execution of multiple processes. For some applications, this permits more work to be done in less elapsed time.

To make the most use of this capability, we need to decompose our application into components for which non-strict concurrent execution is beneficial. ...