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。

Imagine you would boot your Linux system, and instead of the shell of your choice, you would be greeted by an interactive Python interpreter, and everything you do on the system will be within the ...

Python 3.13 introduces a revamped interactive interpreter with streamlined features like multi-line editing, experimental free-threaded mode, alongside the introduction of a Just-in-Time (JIT ...

By using Notepad and the Python interpreter, a programmer can write Python programs and execute them, or create "batch" files that can execute multiple programs, including Python scripts.

Python 3.14 now features changes to the interpreter to make Python applications run faster with no changes to your code. This video graphically demonstrates how much of a speedup to expect with a ...

Python lets you parallelize workloads using threads, subprocesses, or both. Here's what you need to know about Python's thread and process pools and Python threads after Python 3.13.