/Python/Python difference between multiprocessing Pool and Threadpool

Python difference between multiprocessing Pool and Threadpool

The multiprocessing.pool.ThreadPool behaves the same as the multiprocessing.Pool with the only difference that uses threads instead of processes to run the workers logic.

Source: stackoverflow.com

Python difference between multiprocessing pool and threadpool

multithreading uses seperate python interpreters as processes,
which do NOT share memory, but can achieve higher performance
cuz every process has its own cpu usage limit!

multithreading is just useful to seperate i/o tasks and other stuff that is not
cpu intensive from the main process to continue working while the seperated thread waits for
something to happen

Similar codes

1 vote280 views1 answer
Wheter
Python
5 votes309 views3 answers
Write to file python 3
Python
1 vote365 views5 answers
How to find avrage python
Python
0 vote305 views1 answer
Merge 2 or more notebooks into one
Python
0 vote292 views1 answer
Django template child data in nested loop
Python
1 vote283 views1 answer
Jupyter no output cell
Python
0 vote366 views1 answer
Extends template django file system
Python Django
1 vote298 views1 answer
How to get all folders on path in python
Python
0 vote330 views1 answer
Flask echo server
Python Flask
5 votes311 views3 answers
Concatenate two tensors pytorch
Python