How to understand Numpy documentation

When we start to learn Data Science, Machine Learning, Deep Learning or any excited fields that will be using Python as programming language, most probably all of us will be using numpy as well. In this post, I will be writing numpy basics and how to read documentation properly based on my experience of using numpy. Before reading my post, it is good if you know the basics of programming language and python. I will be using python 3.6 as examples. You might wonder why all machine learning tutorials will be using numpy, why not other libraries?