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NumPy

Introduction to NumPy for numerical computing
NumPy

Introduction to NumPy for numerical computing

Introduction to NumPy for numerical computingNumPy is a powerful and versatile library
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Hacker
Hackerrank Mean, Var, and Std Solution
Hackerrank

Hackerrank Mean, Var, and Std Solution

mean The mean tool computes the arithmetic mean along the specified axis.
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The Algorithmist
Hackerrank Polynomials Solution
Hackerrank

Hackerrank Polynomials Solution

poly The poly tool returns the coefficients of a polynomial with the
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The Algorithmist
Hackerrank Linear Algebra Solution
Hackerrank

Hackerrank Linear Algebra Solution

The NumPy module also comes with a number of built-in routines for
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The Algorithmist
Hackerrank Eye and Identity Solution
Hackerrank

Hackerrank Eye and Identity Solution

Solution in python3Approach 1. import numpy print(numpy.eye(*map(int,input(
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The Algorithmist
Hackerrank Zeros and Ones Solution
Hackerrank

Hackerrank Zeros and Ones Solution

Solution in python3Approach 1. import numpy N = list(map(int, input().split(
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The Algorithmist
Hackerrank Floor, Ceil and Rint Solution
Hackerrank

Hackerrank Floor, Ceil and Rint Solution

Solution in python3Approach 1. import numpy a = numpy.array(input().split(),float)
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The Algorithmist
Hackerrank Array Mathematics Solution
Hackerrank

Hackerrank Array Mathematics Solution

Basic mathematical functions operate element-wise on arrays. They are available both as
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The Algorithmist
Hackerrank Shape and Reshape Solution
Hackerrank

Hackerrank Shape and Reshape Solution

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