A Python program that uses threading is typically a good candidate for using async. Threads in Python are cooperative; they yield to one another as needed. Async tasks in Python work the same way.

Official support for free-threaded Python, an experimental JIT, and a smarter installation manager for Windows are among the goodies in Python 3.14. Now in a release candidate.

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.

Second, Python Threads provide no mechanism for thread control. You can't set their priority, you can't pause them, and in general they aren't even very "good" threads.

In this article, the Intel® Distribution for Python 2.7 on Linux (l_python27_pu_2017.0.035.tgz) is installed on a 1.4 GHz, 68-core Intel® Xeon Phi™ processor 7250 with four hardware threads ...

Think it's complex to connect your Python program to the UNIX shell? Think again! In past articles, I've looked into concurrency in Python via threads (see "Thinking Concurrently: How Modern Network ...