5 numpy functions you might need during this course

I've choosen those functions with a mindset of helping you understand numpy a bit better. They aren't the most advanced functions you might see in numpy, but they are enough to work with it.

I also present a real-world problem at the end, which you can solve easily using numpy.

rand()
astype()
array broadcasting
transpose()
matrix (2D array) inverse

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

project_name = "numpy-array-operations"

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