How to use multiprocessing pool.map with multiple arguments?

Question

In the Python multiprocessing library, is there a variant of pool.map which supports multiple arguments?

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Answer 1

Here is another way to do it that IMHO is more simple and elegant than any of the other answers provided.

This program has a function that takes two parameters, prints them out and also prints the sum:

import multiprocessing

def main():

    with multiprocessing.Pool(10) as pool:
        params = [ (2, 2), (3, 3), (4, 4) ]
        pool.starmap(printSum, params)
    # end with

# end function

def printSum(num1, num2):
    mySum = num1 + num2
    print('num1 = ' + str(num1) + ', num2 = ' + str(num2) + ', sum = ' + str(mySum))
# end function

if __name__ == '__main__':
    main()

output is:

num1 = 2, num2 = 2, sum = 4
num1 = 3, num2 = 3, sum = 6
num1 = 4, num2 = 4, sum = 8

See the python docs for more info:

https://docs.python.org/3/library/multiprocessing.html#module-multiprocessing.pool

In particular be sure to check out the starmap function.

I'm using Python 3.6, I'm not sure if this will work with older Python versions

Why there is not a very straight-forward example like this in the docs, I'm not sure.