/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 vote195 views2 answers
List all virtualenv in python
Python
2 votes222 views1 answer
How to redirect in flask to the same page
Python Flask
9 votes198 views2 answers
Read video with opencv
Python
0 vote186 views1 answer
Python cursor placement
Python
5 votes177 views2 answers
How to make a calcukatir
Python
1 vote180 views1 answer
Create list integers
Python
19 votes186 views6 answers
Remove columns from a dataframe python
Python
5 votes185 views1 answer
How to save to file in python
Python
0 vote190 views1 answer
When training= false still dropout
Python
0 vote190 views1 answer
Python calculated row in dataframe subtract
Python