In [7]:

    

from threading import Thread
from multiprocessing import Process, Queue
import time


    

In [3]:

    

def do_work(start, end, result):
    sum = 0
    for i in range(start,end):
        sum += i
    result.append(sum)
    return


    

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if __name__=='__main__':
    s_time = time.time()
    START, END = 0, 80000000
    result = list()
    th1 = Thread(target=do_work, args=(START, END, result))
    th1.start()
    th1.join()
print ('Result : ',sum(result),'time =',time.time()-s_time)


    

In [ ]:

    

def multi_thread(thread_n=1):
    start_time = time.time()
    START, END = 0, 80000000
    result = list()
    
    end_time = end.time()


    

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import multiprocessing.dummy as mp 

def do_print(s):
    print s

if __name__=="__main__":
    p=mp.Pool(4)
    p.map(do_print,range(0,10)) # range(0,1000) if you want to replicate your example
    p.close()
    p.join()


    

In [4]:

    

s_time = time.time()
START, END = 0, 80000000
result = list()
th1 = Thread(target=do_work, args=(START, END, result))
th1.start()
th1.join()
print ('Result : ',sum(result),'time =',time.time()-s_time)


    

    




Result :  3199999960000000 time = 4.5752880573272705

In [6]:

    

s_time = time.time()
START, END = 0, 80000000
result = list()
th1 = Thread(target=do_work, args=(START, 20000000, result))
th2 = Thread(target=do_work, args=(20000000, 40000000, result))
th3 = Thread(target=do_work, args=(40000000, 60000000, result))
th4 = Thread(target=do_work, args=(60000000, 80000000, result))
th1.start()
th2.start()
th3.start()
th4.start()
th1.join()
th2.join()
th3.join()
th4.join()
print('Result : ',sum(result),'time =',time.time()-s_time)


    

    




Result :  3199999960000000 time = 5.104726076126099

In [13]:

    

s_time = time.time()
START, END = 0, 80000000
# result = Queue()
result = list()
pr1 = Process(target=do_work, args=(START, 20000000, result))
pr2 = Process(target=do_work, args=(20000000, 40000000, result))
pr3 = Process(target=do_work, args=(40000000, 60000000, result))
pr4 = Process(target=do_work, args=(60000000, 80000000, result))
pr1.start()
pr2.start()
pr3.start()
pr4.start()
pr1.join()
pr2.join()
pr3.join()
pr4.join()
# result.put('STOP')
# sum = 0
# while True:
#     tmp = result.get()
#     if tmp == 'STOP' : break
#     else: sum += tmp
print('Result : ',sum(result),'time =',time.time()-s_time)


    

    




---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-13-ee257784113f> in <module>()
     21 #     if tmp == 'STOP' : break
     22 #     else: sum += tmp
---> 23 print('Result : ',sum(result),'time =',time.time()-s_time)

TypeError: 'int' object is not callable

In [25]:

    

from multiprocessing import Process
import os

def info(title):
    print(title)
    print('parent process:', os.getppid())
    print('process id:', os.getpid())

def f(name):
    info('function f')
    print('hello', name)

# if __name__ == '__main__':
info('main line')
p = Process(target=f, args=('bob',))
p.start()
p.join()


    

    




main line
parent process: 11614
process id: 11622
function f
parent process: 11622
process id: 13423
hello bob

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