# Sum and Prod in Python | HackerRank Solution

Hello coders, today we are going to solve Sum and Prod HackerRank Solution in Python.

## Obective

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.

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.

Sample Input

``````2 2
1 2
3 4``````

Sample Output

``24``

Explanation

The sum along axis 0 = [ 4 6 ]
The product of this sum = 24

## Solution – Sum and Prod in Python

```import numpy
N, M = map(int, input().split())
A = numpy.array([input().split() for _ in range(N)],int)
print(numpy.prod(numpy.sum(A, axis=0), axis=0))```

Disclaimer: The above Problem (Sum and Prod) is generated by Hacker Rank but the solution is Provided by CodingBroz. This tutorial is only for Educational and Learning Purpose.