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.

For parallelism, Python offers multiprocessing, which launches multiple instances of the Python interpreter, each one running independently on its own hardware thread.. All three of these ...