**Author:** William Zhong
<br/><br/>
In this course, you will learn about the utility of NumPy, one of the most widely used Python libraries in machine learning and data science. Prior knowledge of Python lists is helpful but not necessary.

Introduction to NumPy

NumPy Data Types

NumPy Arrays Part 1: Declaration Methods

NumPy Arrays Part 2: Operations

NumPy Slicing

Looking ahead: NumPy applications in Machine Learning

The Power of NumPy

NumPy Data Types Quiz

NumPy Arrays Quiz

NumPy Array Slicing Quiz

What is NumPy?

NumPy is one of the most widely used libraries in Python. With its support for multi-dimensional arrays and an almost endless amount of operations that can be performed on them, it has uses in just about any field you could imagine.

This course is designed to introduce you and provide you with a good understanding of NumPy and why its arrays and array operations are so powerful and widely used in the world of data science.

Below is a small glimpse of the power of NumPy arrays which you will be more than familiar with by the end of this course.

<img src="
https://media.geeksforgeeks.org/wp-content/uploads/Numpy1.jpg " style="height: 20%; width:40%;"/>

The Power of NumPy

1. Introduction to NumPy