Intro to NumPy

Overview

In this series,  we cover the basics of using NumPy for basic data analysis.  Some of the things that are covered are as follows:  installing NumPy using the Anaconda Python distribution,   creating NumPy arrays in a variety of ways,   gathering information about large datasets such as the mean,  median and standard deviation,  as well as utilizing Jupyter Notebooks for exploration using NumPy.  If you are looking to get started with NumPy then join us!

Objectives

• To Create and print a NumPy array

• Carry out basic operations in NumPy

• Different ways to wrangle data using shape, manipulation, and copying methods.

• How to use NumPy to execute linear algebraic functions

Prerequisites

You should have a basic understanding of computer programming terminologies.  A basic understanding of Python and any of the programming languages is a plus.

Target Audience

This tutorial has been prepared for those who want to learn about the basics and various functions of NumPy.