What are some common mistakes when using multiprocessing in Python?
An example of an AI chatbot conversation about common mistakes in Python's multiprocessing module.
What are some common mistakes when using multiprocessing in Python?
Some common mistakes include not using the if __name__ == '__main__': guard, which can lead to issues on Windows.
Why is the if __name__ == '__main__': guard important?
It's crucial because it prevents the child processes from executing the main module code again, which can cause recursion.
Are there any performance issues I should be aware of?
Yes, using too many processes can lead to overhead and context switching, which may degrade performance.
How can I effectively manage the number of processes?
You can use the multiprocessing.Pool class to manage a pool of worker processes and control the number of concurrent tasks.
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