If the argument `daemon' is True, the worker threads will be daemonic, or not. Python program exits when only daemon threads are left. This constructor is thread safe. Pool.send(func, *args, **kwargs) ...

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.

We’ll walk through the difference between threads and processes in a Python context, ... Note how easy it is to create a dynamic pool of workers using ThreadPoolExecutor and submit a task.

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 ...