What are the uses of GIL in Python?
GIL, or Global Interpreter Lock, is used in Python to ensure that only one thread executes Python bytecode at a time. This simplifies memory management and prevents race conditions.
Why is GIL considered a limitation?
GIL can be a limitation because it prevents multi-threaded Python programs from fully utilizing multiple CPU cores, which can lead to performance bottlenecks in CPU-bound tasks.
Are there any workarounds for GIL?
Yes, some workarounds include using multiprocessing instead of threading, or leveraging libraries like NumPy that release the GIL during heavy computations.
Can GIL be removed in future Python versions?
While there have been discussions about removing GIL, it would require significant changes to Python's memory management and could introduce new complexities.
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