Book Image

Practical Data Science Cookbook, Second Edition - Second Edition

By : Prabhanjan Narayanachar Tattar, Bhushan Purushottam Joshi, Sean Patrick Murphy, ABHIJIT DASGUPTA, Anthony Ojeda
Book Image

Practical Data Science Cookbook, Second Edition - Second Edition

By: Prabhanjan Narayanachar Tattar, Bhushan Purushottam Joshi, Sean Patrick Murphy, ABHIJIT DASGUPTA, Anthony Ojeda

Overview of this book

As increasing amounts of data are generated each year, the need to analyze and create value out of it is more important than ever. Companies that know what to do with their data and how to do it well will have a competitive advantage over companies that don’t. Because of this, there will be an increasing demand for people that possess both the analytical and technical abilities to extract valuable insights from data and create valuable solutions that put those insights to use. Starting with the basics, this book covers how to set up your numerical programming environment, introduces you to the data science pipeline, and guides you through several data projects in a step-by-step format. By sequentially working through the steps in each chapter, you will quickly familiarize yourself with the process and learn how to apply it to a variety of situations with examples using the two most popular programming languages for data analysis—R and Python.
Table of Contents (17 chapters)
Title Page
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface

Exploring Jupyter Notebook


Jupyter Notebook is the perfect complement to Python. In practice, Jupyter Notebook allows you to intersperse your code with comments and images and anything else that might be useful. You can use Jupyter Notebooks for everything from presentations (a great replacement for PowerPoint) to an electronic laboratory notebook or a textbook.

Getting ready

If you have completed the installation instructions in the first chapter, you should be ready to tackle the following recipes.

How to do it...

These steps will get you started with exploring the incredibly powerful Jupyter Notebook environment. We urge you to go beyond this simple set of steps to understand the true power of the tool:

  1. Create a folder at the terminal, say test, with mkdir test, and move into that folder with cd test.
  2. Type jupyter notebook in the command prompt. You should see some text quickly scroll by in the terminal window, and then, the following screen should load in the default browser (for me, this...