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Learning Jupyter 5

You're reading from Learning Jupyter 5 Explore interactive computing using Python, Java, JavaScript, R, Julia, and JupyterLab

Product type Paperback

Published in Aug 2018

Publisher

ISBN-13 9781789137408

Length 282 pages

Edition 2nd Edition

Languages

Java

Tools

Jupyter

Concepts

Data Analysis

Author (1):

Dan Toomey

View More author details

Table of Contents (14) Chapters

Preface

1. Introduction to Jupyter FREE CHAPTER

2. Jupyter Python Scripting

3. Jupyter R Scripting

4. Jupyter Julia Scripting

5. Jupyter Java Coding

6. Jupyter JavaScript Coding

7. Jupyter Scala

8. Jupyter and Big Data

9. Interactive Widgets

10. Sharing and Converting Jupyter Notebooks

11. Multiuser Jupyter Notebooks

12. What's Next?

13. Other Books You May Enjoy

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Adding R scripting to your installation

Two big installation platforms are macOS and Windows. There are separate but similar steps for making R scripting available in your Jupyter installation.

Adding R scripts to Jupyter on macOS

If you are operating on macOS, you can add R Scripting using the following command:

conda install -c r r-essentials

This will start off with a large installation of the R environment, which contains a number of common packages:

bos-mpdc7:~ dtoomey$ conda install -c r r-essentialsFetching package metadata: ......Solving package specifications: .........Package plan for installation in environment /Users/dtoomey/miniconda3:

The following packages will be downloaded:

    package                    |            build    ---------------------------|-----------------    jbig-2.1                   |                0          31 KB    jpeg-8d                    |                2         210 KB    libgcc-4.8.5               |                1         785 KB... <<many packages...

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