multiprocessing - Python Multiprocesing async running process one after the other -

import multiprocessing  import requests  def work(number):     link = 'http://apilink/'     response = requests.get(link).text     print response  if __name__ == "__main__":       number_processes = 2     pool = multiprocessing.pool(number_processes)     results = pool.map_async(work, range(1,3))     pool.close()     pool.join() 

im running above code run multiprocessing using async 2 process. when run code, running serially not parallely. how run both processes @ time parallely.

you need pool of workers, check out: the docs: using pool of workers

check out docs:

from multiprocessing import pool p = pool(5) def f(x):     return x*x  p.map(f, [1,2,3]) 

you need map function list of workers.

be careful demon processes in background.