“Perbedaan Python antara kumpulan multiprosessing dan threadpool” Kode Jawaban

Perbedaan Python antara kumpulan multiprosessing dan 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
Anxious Armadillo

Perbedaan Python antara kumpulan multiprosessing dan 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.
Thankful Tiger

Jawaban yang mirip dengan “Perbedaan Python antara kumpulan multiprosessing dan threadpool”

Pertanyaan yang mirip dengan “Perbedaan Python antara kumpulan multiprosessing dan threadpool”

Lebih banyak jawaban terkait untuk “Perbedaan Python antara kumpulan multiprosessing dan threadpool” di Python

Jelajahi jawaban kode populer menurut bahasa

Jelajahi bahasa kode lainnya