Assignment 2 - Numpy Array Operations

Numpy Functions

5 Useful Numpy Mathematical Functions.

Numpy stands for Numerical Python. It is a library consisting of multidimensional array objects and a collection of routines for proccessing of arrays. We can perform mathematical and logical operations on arrays using this library. Below are few basic Numpy fucntions.

function 1 - np.sqrt() - Returns the non-negative square-root of an array, element wise.
function 2 - np.cbrt() - Return the cube-root of an array, element-wise.
function 3 - np.square() - Return the element-wise square of the input
function 4 - np.maximum() - Element-wise maximum of array elements.
function 5 - np.minimum() - Element-wise minimum of array elements.

!pip install jovian --upgrade -q

import jovian

jovian.commit(project='numpy-array-operations')

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'https://jovian.ai/astha1998/numpy-array-operations'

Let's begin by importing Numpy and listing out the functions covered in this notebook.