python 进程池使用
2017-07-15 本文已影响0人
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import multiprocessing as mp
def job(x):
return x*x
def multicore():
pool = mp.Pool()
res = pool.map(job, range(10))
print(res)
res = pool.apply_async(job, (2,))
print(res.get())
multi_res = [pool.apply_async(job,(i,)) for i in range(10)]
print([res.get() for res in multi_res])
if __name__ == '__main__':
multicore()
