What are the best practices for advanced threading in Python?
When using advanced threading in Python, consider using the threading
module, managing thread lifecycle, and avoiding race conditions.
Can you explain how to avoid race conditions?
To avoid race conditions, use locks, semaphores, or other synchronization mechanisms to control access to shared resources.
What is the difference between threading and multiprocessing?
Threading is suitable for I/O-bound tasks, while multiprocessing is better for CPU-bound tasks, as it utilizes multiple cores.
Are there any libraries that can help with threading?
Yes, libraries like concurrent.futures
and asyncio
can simplify threading and asynchronous programming in Python.
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