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Jupyter Cookbook

You're reading from Jupyter Cookbook Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more

Product type Paperback

Published in Apr 2018

Publisher Packt

ISBN-13 9781788839440

Length 238 pages

Edition 1st Edition

Languages

JavaScript

Tools

Jupyter

Concepts

Data Analysis

Author (1):

Dan Toomey

View More author details

Table of Contents (12) Chapters

Preface

1. Installation and Setting up the Environment

2. Adding an Engine FREE CHAPTER

3. Accessing and Retrieving Data

4. Visualizing Your Analytics

5. Working with Widgets

6. Jupyter Dashboards

7. Sharing Your Code

8. Multiuser Jupyter

9. Interacting with Big Data

10. Jupyter Security

11. Jupyter Labs

Adding the R engine

R is both a programming language and a software environment geared toward statistical computing and associated graphics. R has a clean syntax, providing access to a large set of statistical packages, publicly available for free use.

How to do it...

We can add the R engine to our Jupyter installation using Anaconda Navigator or the command line.

Installing the R engine using Anaconda Navigator

R is included with the R Studio option in Anaconda Navigator, as shown in this partial screenshot:

As noted in the screen, the R Studio installation includes...

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Jupyter Cookbook

Published in: Apr 2018

Publisher: Packt

ISBN-13: 9781788839440

© 2018 Packt Publishing Limited All Rights Reserved

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Authors (1)

Toomey

Toomey

Dan Toomey has been developing application software for over 20 years. He has worked in a variety of industries and companies, in roles from sole contributor to VP/CTO-level. For the last few years, he has been contracting for companies in the eastern Massachusetts area. Dan has been contracting under Dan Toomey Software Corp. Dan has also written R for Data Science, Jupyter for Data Sciences, and the Jupyter Cookbook, all with Packt.

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