[ ]subtract the two arrays[[ [ [ ]multiply the two arrays[ [ ]aggregation additional benefits numpy gives us are aggregation functionsin addition to minmaxand sumyou get all the greats like mean to get the averageprod to get the result of multiplying all the elements togetherstd to get standard deviation and plenty of others few of them are as follows numpy power(this function treats elements in the first input array as base and returns it raised to the power of the corresponding element in the second input array exampleimport numpy as np np array([ , , ]print ('my array is:'printa print ('applying power function:'print(np power( , print ('my second array: np array([ , , ]print ( print ('applying power function:'print (np power( , )page