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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

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788839440
Length 238 pages
Edition 1st Edition
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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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Toc

Table of Contents (12) Chapters Close

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 Julia engine

Julia is a high-level programming language. It was built with high performance in mind, especially with regard to numerical computing. As such, it is a custom-made language for data science use.

How to do it...

We will now cover the steps to add the Julia engine and execute a Julia script under Jupyter.

Installing the Julia engine

I know that in previous instances of Jupyter, Julia was automatically installed as an engine in non-Windows environments. I do not have access to another environment, so we will walk through the steps to installing Julia...

You have been reading a chapter from
Jupyter Cookbook
Published in: Apr 2018
Publisher: Packt
ISBN-13: 9781788839440
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