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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** – Min and Max in Python – HackerRank Solution

Min and Max in Python – HackerRank Solution

**Problem:**

**Min**The tool min returns the minimum value along a given axis.

importnumpymy_array = numpy.array([[2,5], [3,7], [1,3], [4,0]]) print numpy.min(my_array, axis =0) #Output : [1 0] print numpy.min(my_array, axis =1) #Output : [2 3 1 0] print numpy.min(my_array, axis =None) #Output : 0 print numpy.min(my_array) #Output : 0

By default, the axis value is None. Therefore, it finds the minimum over all the dimensions of the input array. **Max**The tool max returns the maximum value along a given axis.

importnumpymy_array = numpy.array([[2,5], [3,7], [1,3], [4,0]]) print numpy.max(my_array, axis =0) #Output : [4 7] print numpy.max(my_array, axis =1) #Output : [5 7 3 4] print numpy.max(my_array, axis =None) #Output : 7 print numpy.max(my_array) #Output : 7

By default, the axis value is None. Therefore, it finds the maximum 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 min function over axis 1 and then find the max of that.

#### Input Format :

The first line of input contains the space separated values of N and M.

The next N lines contains M space separated integers.

#### Output Format :

Compute the min along axis 1 and then print the max of that result.

#### Sample Input :

4225371340

#### Sample Output :

3

#### Explanation :

The min along axis 1 = [2, 3, 1, 0]

The max of [2, 3, 1, 0]= 3

Min and Max in Python – HackerRank Solution

import numpy N, M = map(int, input().split()) storage = numpy.array([input().split() for _ in range(N)],int) print(numpy.max(numpy.min(storage, axis=1), axis=0))