Using multiple processes

The standard multiprocessing module can be used to quickly parallelize simple tasks by spawning several processes while avoiding the GIL problem. Its interface is easy to use and includes several utilities to handle task submission and synchronization.

The Process and Pool classes

You can create a process that runs independently by subclassing multiprocessing.Process. You can extend the __init__ method to initialize resources, and you can write a portion of the code that will be executed in a subprocess by implementing the Process.run method. In the following code snippet, we define a Process class that will wait for 1 second and print its assigned id value:

    import multiprocessing 
    import time 
    class Process(multiprocessing.Process): 
        def __init__(self, id): 
            ...