1. Use Pool To create a process

from multiprocessing import Pool
def f(n):
return n*n
if __name__=="__main__":

p.map Will a The data in the list circulates to the user in turn f function . But when a function needs two arguments , This method is not applicable .

2. Use Process To create a process

def info(title):
print title
print 'module name:', __name__
if hasattr(os, 'getppid'): # only available on Unix
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.join() # Serial

3. Use Pool.apply_async( asynchronous )

from multiprocessing import Pool
import time def f(n):
print n*n
return n*n if __name__ == '__main__':
p = Pool(processes=5)
res_list = []
for i in range(10):
res = p.apply_async(f,[i,])
res_list.append(res) for item in res_list:
print item.get()

Three ways to share memory

1. Use multiprocessing Medium Queue( take Queue Encapsulates the )

from multiprocessing import Process, Queue
import Queue as Q2
def f(q,n):
q.put([n, 'hello'])
print q.get()
if __name__ == '__main__':
q = Q2.Queue()
for i in range(5):
p = Process(target=f, args=(q,i))
# print q.get() # prints "[42, None, 'hello']" from multiprocessing import Process, Lock
import time
def f(i):
# l.acquire()
print 'hello world', i
# l.release() if __name__ == '__main__':
# lock = Lock()
for num in range(10):
Process(target=f, args=[num]).start()

2. Use values and array( Poor flexibility , It is not recommended to use )

from multiprocessing import Process, Value, Array
def f(n, a):
n.value = 3.1415927
for i in range(len(a)):
a[i] = -a[i] if __name__ == '__main__':
num = Value('d', 0.0)
arr = Array('i', range(10)) p = Process(target=f, args=(num, arr))
p.join() print num.value
print arr[:]

3. Use Manager

from multiprocessing import Process, Manager
def f(d, l):
d[1] = ''
d[''] = 2
d[0.25] = None
l.reverse() if __name__ == '__main__':
manager = Manager() d = manager.dict()
l = manager.list(range(10)) p = Process(target=f, args=(d, l))
p.join() print d
print l

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