I have a simple task like that:

```
def worker(queue):
    while True:
        try:
            _ = queue.get_nowait()
        except Queue.Empty:
            break

if __name__ == '__main__':
    manager = multiprocessing.Manager()
    # queue = multiprocessing.Queue()
    queue = manager.Queue()

    for i in range(5):
        queue.put(i)

    processes = []

    for i in range(2):
        proc = multiprocessing.Process(target=worker, args=(queue,))
        processes.append(proc)
        proc.start()

    for proc in processes:
        proc.join()

```

It seems that multiprocessing.Queue can do all work that i needed, but on the other hand I see many examples of manager().Queue() and can't understand what I really need. Looks like Manager().Queue() use some sort of proxy objects, but I doesn't understand those purpose, because multiprocessing.Queue() do the same work without any proxy objects.

So, my questions is:

1) What really difference between multiprocessing.Queue and object returned by multiprocessing.manager().Queue()?

2) What do I need to use?