NumPy

Introduction to NumPy for numerical computing

Introduction to NumPy for numerical computing

Introduction to NumPy for numerical computingNumPy is a powerful and versatile library

Hackerrank Mean, Var, and Std Solution

Hackerrank Mean, Var, and Std Solution

mean The mean tool computes the arithmetic mean along the specified axis.

Hackerrank Polynomials Solution

Hackerrank Polynomials Solution

poly The poly tool returns the coefficients of a polynomial with the

Hackerrank Linear Algebra Solution

Hackerrank Linear Algebra Solution

The NumPy module also comes with a number of built-in routines for

Hackerrank Eye and Identity Solution

Hackerrank Eye and Identity Solution

Solution in python3Approach 1. import numpy print(numpy.eye(*map(int,input(

Hackerrank Zeros and Ones Solution

Hackerrank Zeros and Ones Solution

Solution in python3Approach 1. import numpy N = list(map(int, input().split(

Hackerrank Floor, Ceil and Rint Solution

Hackerrank Floor, Ceil and Rint Solution

Solution in python3Approach 1. import numpy a = numpy.array(input().split(),float)

Hackerrank Array Mathematics Solution

Hackerrank Array Mathematics Solution

Basic mathematical functions operate element-wise on arrays. They are available both as

Hackerrank Shape and Reshape Solution

Hackerrank Shape and Reshape Solution

Solution in python3Approach 1. import numpy print( numpy.array(input().split(" "),int)