NumPy Introduction to NumPy for numerical computing Introduction to NumPy for numerical computingNumPy is a powerful and versatile library
Hackerrank Hackerrank Mean, Var, and Std Solution mean The mean tool computes the arithmetic mean along the specified axis.
Hackerrank Hackerrank Polynomials Solution poly The poly tool returns the coefficients of a polynomial with the
Hackerrank Hackerrank Linear Algebra Solution The NumPy module also comes with a number of built-in routines for
Hackerrank Hackerrank Eye and Identity Solution Solution in python3Approach 1. import numpy print(numpy.eye(*map(int,input(
Hackerrank Hackerrank Zeros and Ones Solution Solution in python3Approach 1. import numpy N = list(map(int, input().split(
Hackerrank Hackerrank Floor, Ceil and Rint Solution Solution in python3Approach 1. import numpy a = numpy.array(input().split(),float)
Hackerrank Hackerrank Array Mathematics Solution Basic mathematical functions operate element-wise on arrays. They are available both as
Hackerrank Hackerrank Shape and Reshape Solution Solution in python3Approach 1. import numpy print( numpy.array(input().split(" "),int)