What are common issues with Python multiprocessing?
An example of an AI chatbot conversation about Python multiprocessing issues and solutions.
What are common issues with Python multiprocessing?
Some common issues include deadlocks, race conditions, and difficulties with shared state.
How can I avoid deadlocks in my multiprocessing code?
To avoid deadlocks, ensure that all processes acquire locks in a consistent order and use timeouts.
What is a race condition and how can I prevent it?
A race condition occurs when two processes access shared data simultaneously. You can prevent it by using locks or semaphores.
Are there any tools to help debug multiprocessing issues?
Yes, tools like PyCharm's debugger and the 'multiprocessing' module's logging features can help.
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