What are some common mistakes in multiprocessing with Python?
An example of an AI chatbot conversation about common mistakes in Python multiprocessing.
What are some common mistakes in multiprocessing with 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 script again, which can cause infinite loops.
Are there any performance issues I should be aware of?
Yes, using too many processes can lead to overhead. It's important to balance the number of processes with the workload.
What about sharing data between processes?
Sharing data can be tricky. You should use multiprocessing.Queue or multiprocessing.Pipe for safe communication.
Can you give an example of using a Queue?
Sure! You can create a Queue and use it to pass messages between processes, ensuring thread safety.
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