Hello Programmers/Coders, Today we are going to share solutions of Programming problems of HackerRank of Programming Language Python. At Each Problem with Successful submission with all Test Cases Passed, you will get an score or marks. And after solving maximum problems, you will be getting stars. This will highlight your profile to the recruiters.
In this post, you will find the solution for Min and Max 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 – Min and Max in Python – HackerRank Solution
Min and Max in Python – HackerRank Solution
Problem:
MinThe tool min returns the minimum value along a given axis.
import numpy
my_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. MaxThe tool max returns the maximum value along a given axis.
import numpy
my_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 :
4 2 2 5 3 7 1 3 4 0
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))
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