NumPy for Dummies

Especially for stats enthusiasts

NumPy is a Python library that allows to analyse statistical data of multi-dimensional arrays and matrices, in other words more complicated data. It is an open-source software that was created in 2005 by adding features of its competitor, Numarray, into its ancestor, Numeric.

Today, we'll look at these 5 functions that make NumPy great:

around
mean
average
ptp (= range)
divide

!pip install jovian --upgrade -q

import jovian

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

[jovian] Attempting to save notebook..
[jovian] Updating notebook "andihanna93/numpy-array-operations" on https://jovian.ml/
[jovian] Uploading notebook..
[jovian] Capturing environment..
[jovian] Committed successfully! https://jovian.ml/andihanna93/numpy-array-operations

'https://jovian.ml/andihanna93/numpy-array-operations'

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