**Sum and Prod python**

### Problem Statement :

sum The sum tool returns the sum of array elements over a given axis. import numpy my_array = numpy.array([ [1, 2], [3, 4] ]) print numpy.sum(my_array, axis = 0) #Output : [4 6] print numpy.sum(my_array, axis = 1) #Output : [3 7] print numpy.sum(my_array, axis = None) #Output : 10 print numpy.sum(my_array) #Output : 10 By default, the axis value is None. Therefore, it performs a sum over all the dimensions of the input array. prod The prod tool returns the product of array elements over a given axis. import numpy my_array = numpy.array([ [1, 2], [3, 4] ]) print numpy.prod(my_array, axis = 0) #Output : [3 8] print numpy.prod(my_array, axis = 1) #Output : [ 2 12] print numpy.prod(my_array, axis = None) #Output : 24 print numpy.prod(my_array) #Output : 24 By default, the axis value is None. Therefore, it performs the product over all the dimensions of the input array. Task You are given a 2-D array with dimensions N X M. Your task is to perform the sum tool over axis 0 and then find the product of that result. Input Format The first line of input contains space separated values of N and M. The next N lines contains M space separated integers. Output Format Compute the sum along axis 0. Then, print the product of that sum.

### Solution :

` ````
Solution in C :
import numpy
n,m=map(int,input().split())
array=[list(map(int,input().split())) for i in range(n)]
print(numpy.prod(numpy.sum(array,axis=0),None))
```

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