How do I handle exceptions in Python's multiprocessing module?

How do I handle exceptions in Python's multiprocessing module?

You can handle exceptions in the multiprocessing module by using a try-except block within the target function.

Can you give me an example of that?

Sure! Here's a simple example:

import multiprocessing

def worker():
    try:
        # Simulate some work
        raise ValueError('An error occurred!')
    except Exception as e:
        print(f'Error in worker: {e}')

if __name__ == '__main__':
    p = multiprocessing.Process(target=worker)
    p.start()
    p.join()

What happens if I don't handle exceptions?

If you don't handle exceptions, the process will terminate, and you won't get any feedback about the error.

Is there a way to collect exceptions from multiple processes?

Yes, you can use a Queue to collect exceptions from multiple processes and handle them in the main process.