这可能是一个微不足道的问题,但我如何在python中并行化以下循环？

# setup output lists
output1 = list()
output2 = list()
output3 = list()

for j in range(0, 10):
    # calc individual parameter value
    parameter = j * offset
    # call the calculation
    out1, out2, out3 = calc_stuff(parameter = parameter)

    # put results into correct output list
    output1.append(out1)
    output2.append(out2)
    output3.append(out3)

我知道如何在Python中启动单线程,但我不知道如何"收集"结果.

多个过程也可以 - 对于这种情况最简单的事情.我正在使用当前的Linux,但代码应该在Windows和Mac上运行.

并行化此代码的最简单方法是什么？

Jupyter笔记本

我基本上使用的是多处理模块,我还在学习多处理的功能.我正在使用Dusty Phillips的书,这段代码属于它.

import multiprocessing  
import random
from multiprocessing.pool import Pool

def prime_factor(value):
    factors = []
    for divisor in range(2, value-1):
        quotient, remainder = divmod(value, divisor)
        if not remainder:
            factors.extend(prime_factor(divisor))
            factors.extend(prime_factor(quotient))
            break
        else:
            factors = [value]
    return factors

if __name__ == '__main__':
    pool = Pool()
    to_factor = [ random.randint(100000, 50000000) for i in range(20)]
    results = pool.map(prime_factor, to_factor)
    for value, factors in zip(to_factor, results):
        print("The factors of {} are {}".format(value, factors))

在Windows PowerShell上(不在jupyter笔记本上),我看到以下内容

Process SpawnPoolWorker-5:
Process SpawnPoolWorker-1:
AttributeError: Can't get …