A Quick Dive Into NumPy Arrays

The Power of NumPy

NumPy comes with numerous functions and tools to help users work with data, especially arrays (both 1 dimensional and multi-dimensional). In this notebook, we'll be taking a tour of a handful of the functions that make NumPy so powerful.

np.ones
function 2
function 3
function 4
function 5

The recommended way to run this notebook is to click the "Run" button at the top of this page, and select "Run on Binder". This will run the notebook on mybinder.org, a free online service for running Jupyter notebooks.

!pip install jovian --upgrade -q

import jovian

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

[jovian] Updating notebook "abbygriffiths/numpy-array-operations" on https://jovian.ai
[jovian] Committed successfully! https://jovian.ai/abbygriffiths/numpy-array-operations

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

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