python multi-threading with map()

map-multi-threading.py

from multiprocessing import Pool
import time

def func(i):
    time.sleep(1)
    print i

pool = Pool(3)
pool.map(func, range(30))
pool.close()
pool.join()

# https://medium.com/building-things-on-the-internet/40e9b2b36148#66bf-f06f781cb52b
# http://segmentfault.com/a/1190000000414339

Simple and efficient, ty!

doesn't it use processes instead of threads?

doesn't it use processes instead of threads?

from multiprocessing import Pool as ProcessPool   ### this uses processes
from multiprocessing.dummy import Pool as ThreadPool  ### this uses threads

import os 

cpuCount = os.cpu_count()

can you add cpuCount as argument to Pool() so that it automatically sets the maximum number of threads the system can handle at once.