Python的全局解释器锁（Global Interpreter ...

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. Multithreading and parallel processing ...

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 adds ...

Community driven content discussing all aspects of software development from DevOps to design patterns. When language architects designed Python, they couldn’t conceive of a world where computers had ...

Free-threaded Python is now officially supported, though using it remains optional. Here are four tips for developers getting started with true parallelism in Python. Until recently, Python threads ...

In this special guest feature, Rob Farber writes that Intel’s High Performance Python distribution offers a significant boost to applications performance, even without code changes. Intel recently ...

Cloud computing platforms have become very important in recent years for a wide variety of purposes, from serving websites through to scientific analysis, and the BBC has been an enthusiastic adopter ...