## Algorithm

Problem Name: Python - Sum and Prod

In this HackerRank Functions in PYTHON problem solution,

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 * 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
``````

## Code Examples

### #1 Code Example with Python Programming

```Code - Python Programming```

``````
import numpy as np
print(np.prod(np.sum(np.array([input().split() for _ in range(int(input().split()))], int), axis=0)))
``````
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