What are the best practices for multiprocessing in Python?

What are the best practices for multiprocessing in Python?

Some best practices include using the if __name__ == '__main__': guard, managing shared resources carefully, and using Pool for parallel tasks.

Can you explain why the if __name__ == '__main__': guard is important?

Yes, it prevents the child processes from executing the main code block again, which can lead to unexpected behavior.

What about handling exceptions in multiprocessing?

You should use try-except blocks within your worker functions to handle exceptions gracefully and log errors.

Are there any libraries that can help with multiprocessing?

Yes, libraries like concurrent.futures and multiprocessing are great for managing parallel tasks and processes.