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.

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 ...

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 ...

In the realm of Python software development, two common approaches for managing concurrent operations are threading and asynchronous (async) programming. Both methods allow you to perform multiple ...

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 ...

Simultaneous multithreading (SMT) provides a method to improve resource uti-lization and performance of superscalar CPUs by sharing key data-path components among multiple independent threads. As ...