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。

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.

There’s more than one way to thread (or not to thread) a Python program. We point you to several threading resources, a fast new static type checker from Astral, a monkey patch for Pandas that ...

PyApp seems to be taking the Python world by storm, providing long-awaited click-and-run Python distribution. For developers ...

Moore’s Law and Python’s flawed logic When language architects designed Python, they couldn’t conceive of a world where computers had more than one core. In the 1980s and 1990s, software engineers bet ...