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In this post, you will find the solution for **Sum and Prod in Python-HackerRank Problem**. We are providing the **correct and tested solutions** of coding problems present on **HackerRank**. If you are not able to solve any problem, then you can take help from our Blog/website.

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**Introduction To Python**

**Python **is a widely-used, interpreted, **object-oriented, and high-level programming** language with dynamic semantics, used for general-purpose programming. It was created by **Guido van Rossum**, and first released on **February 20, 1991**.

**Python **is a computer programming language often used to build websites and software, automate tasks, and conduct data analysis. It is also used to create various machine learning algorithm, and helps in Artificial Intelligence. Python is a general purpose language, meaning it can be used to create a variety of different programs and isn’t specialized for any specific problems. This versatility, along with its beginner-friendliness, has made it one of the most-used programming languages today. A survey conducted by industry analyst firm **RedMonk **found that it was the most popular programming language among developers in **2020**.

** Link for the Problem** – Sum and Prod in Python – HackerRank Solution

Sum and Prod in Python – HackerRank Solution

**Problem:**

**Sum** The sum tool returns the sum of array elements over a given axis.

importnumpymy_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.

importnumpymy_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 NXM.

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 :

221234

#### Sample Output :

24

#### Explanation :

The sum along axis 0 = [4 6]

The product of this sum = 24

Sum and Prod in Python – HackerRank Solution

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))

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