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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 Julia scripting to your installation

We will install Julia on macOS and Windows. There are very similar steps in both environments due to using Anaconda as the basis for the installation.

Adding Julia scripts to Jupyter

Once Julia is available on your machine, enabling Julia within Jupyter is readily accomplished.

First, we need to install Julia on our Windows machine. Navigate to the Julia download page (http://julialang.org/downloads/), download the correct version, which is Julia 0.6.1 for most environments, and run the installation with the standard default settings.

Note

You must run the Julia installation as an Administrator on your machine. After downloading the file, open the Downloads folder, right-click on the Julia executable, and select Run as administrator.

Once the install is complete, you should verify that everything worked. Select Julia from the programs list and run the Julia program. You should see the command line with Julia displayed, as shown in the following screenshot...

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