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.

The GIL is controversial because it only allows one thread at a time to access the Python interpreter. This means that it’s often not possible for threads to take advantage of multi-core systems.

An experimental ‘no-GIL’ build mode in Python 3.13 disables the Global Interpreter Lock to enable true parallel execution in Python. Here’s where to start.

Still, we hadn't yet come across a killer feature which we could only use in Python 3.6 to make us finally drop support for Python 2.7. Asyncio, which is not available at all in Python 2.7, became ...

Python knows that I/O can take a long time, and so whenever a Python thread engages in I/O (that is, the screen, disk or network), it gives up control and hands use of the GIL over to a different ...

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 ...

In the main thread, I occasionally need to ask the user to take some action. Which means I need to suppress the logger from actually printing until the user has a chance to make a decision.

Microsoft: Try VS Code's new Python, C++ programming language tutorials, Docker updates Written by Liam Tung, Contributing Writer April 15, 2020 at 4:38 a.m. PT ...