What are the best practices for multiprocessing in Python?
When using multiprocessing in Python, it's important to follow best practices like avoiding shared state, using queues for communication, and ensuring proper cleanup of processes.
Can you explain why avoiding shared state is important?
Avoiding shared state helps prevent race conditions and makes your code easier to understand and maintain. Each process should operate independently.
What about using queues for communication?
Using queues allows safe communication between processes. They help manage data flow and ensure that processes can exchange information without conflicts.
How do I ensure proper cleanup of processes?
You can ensure proper cleanup by using the join()
method on your process objects and handling exceptions to avoid orphaned processes.
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