What are the differences between Queue and Multiprocessing Queue in Python?

What are the differences between Queue and Multiprocessing Queue in Python?

In Python, a Queue is used for threading, while a Multiprocessing Queue is designed for process-based parallelism. The main difference lies in their use cases and the way they handle data.

Can you explain how to use Multiprocessing Queue with an example?

Sure! Here's a simple example:

from multiprocessing import Process, Queue

def worker(q):
    q.put('Hello from the worker!')

if __name__ == '__main__':
    q = Queue()
    p = Process(target=worker, args=(q,))
    p.start()
    print(q.get())  # Output: Hello from the worker!
    p.join()

Are there any performance differences between the two?

Yes, Multiprocessing Queue can handle larger data and is more efficient for CPU-bound tasks, while Queue is better for I/O-bound tasks.

When should I use one over the other?

Use Queue for lightweight threading tasks and Multiprocessing Queue for tasks that require heavy computation or need to bypass the Global Interpreter Lock (GIL).