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.

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.

The Global Interpreter Lock. ... since Python waits for all threads to finish executing before it exits, the program will never exit and the status updater thread will never stop printing.

Many people think of Python's threads as fatally flawed, because only one thread actually can execute at a time, thanks to the GIL (global interpreter lock). This is true if you're running a program ...

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 ...

However, there is a downside to these threads—namely the global interpreter lock (GIL), which ensures that only one thread runs at a time. Because a thread cedes the GIL whenever it uses I/O, this ...

I have worker thread(s) that use the logger. In the main thread, I occasionally need to ask the user to take some action. Which means I need to suppress the ...

Python can't thread across cores, and the reason why dates back 30 years to a fatally flawed assumption that computers of the future would have only one CPU. ... Python’s Global Interpreter Lock (GIL) ...