/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

2 votes306 views1 answer
Sum all values of a dictionary python
Python
5 votes285 views2 answers
Remove all of same value python list
Python
0 vote346 views1 answer
Left-align the y-tick labels | remove the current labels
Python
3 votes292 views1 answer
Get column number in dataframe pandas
Python
1 vote272 views1 answer
Python remove none from dict
Python
0 vote263 views1 answer
Pandas convert date to quarter
Python
1 vote274 views1 answer
Google colab power level
Python
1 vote298 views1 answer
Get all classes from css file using python
Python
0 vote276 views1 answer
Flatten columns after pivot pandas
Python
2 votes253 views2 answers
'flask' is not recognized as an internal or external command, operable program or batch file.
Python