Python's GIL (Global Interpreter Lock) mechanism is confusing to me. How does this locking mechanism affect the use of multiple threads? Apart from performance loss, in what other situations can it cause problems? Can you share an in-depth perspective on this?
Why does the GIL exist in Python and what are its effects?
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The GIL in Python is a locking mechanism used to simplify memory management at the C level, but it severely restricts performance in CPU-intensive multi-threaded applications (e.g., mathematical computations). In a similar case, I used the numpy library for parallel computation and found that the GIL prevented me from achieving the expected performance—so I switched to true parallelism using the `multiprocessing` module. Threads work fine only for I/O-bound tasks (file reading/writing, network queries), and even then, they need to be used carefully.