p = Pool()
p.map(funcname,iterable)     預設非同步的執行任務,且自帶close和join
p.apply   同步呼叫的
p.apply_async 非同步呼叫 和主程序完全非同步 需要手動close 和 join
from multiprocessing import Pool
def func(i):
    return i*i

if __name__ == '__main__':
    p = Pool(5)
    for i in range(10):
        res = p.apply(func,args=(i,))   # apply的結果就是func的返回值
        print(res)

import time
from multiprocessing import Pool
def func(i):
    time.sleep(0.5)
    return i*i

if __name__ == '__main__':
    p = Pool(5)
    res_l = []
    for i in range(10):
        res = p.apply_async(func,args=(i,))   # apply的結果就是func的返回值
        res_l.append(res)
    for res in res_l:print(res.get())# 等著 func的計算結果

import time
from multiprocessing import Pool
def func(i):
    time.sleep(0.5)
    return i*i

if __name__ == '__main__':
    p = Pool(5)
    ret = p.map(func,range(100))
    print(ret)