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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

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Product type Paperback
Published in Aug 2018
Publisher
ISBN-13 9781789137408
Length 282 pages
Edition 2nd Edition
Languages
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Author (1):
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Dan Toomey Dan Toomey
Author Profile Icon Dan Toomey
Dan Toomey
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Table of Contents (14) Chapters Close

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

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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