在CPU密集型任务中，GIL会成为性能瓶颈，因为线程在执行计算时无法释放GIL，导致多线程无法充分利用多核CPU。在这种情况下，建议使用多进程（multiprocessing模块）来绕过GIL的限制，实现真正的并行计算。

Python multithreading Guided by this logic, Python inventor Guido van Rossum architected all of Python’s multithreading capabilities around the fatally flawed assumption that computers of the future ...

Python 3.13: Better interactive shell and finally multithreading without GIL The new Python release features an interactive command line and allows the global interpreter lock to be deactivated.

Ruby and Python's standard implementations make use of a Global Interpreter Lock. Justin James explains the major advantages and downsides of the GIL mechanism. Multithreading and parallel ...

Python multithreading and speed The problem: Python’s slow overall performance, and its limited threading and multiprocessing capabilities, remain major roadblocks to its future development.