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Jupyter Cookbook

You're reading from  Jupyter Cookbook

Product type Book
Published in Apr 2018
Publisher Packt
ISBN-13 9781788839440
Pages 238 pages
Edition 1st Edition
Languages
Author (1):
Dan Toomey Dan Toomey
Profile icon Dan Toomey

Table of Contents (17) Chapters

Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
Installation and Setting up the Environment Adding an Engine Accessing and Retrieving Data Visualizing Your Analytics Working with Widgets Jupyter Dashboards Sharing Your Code Multiuser Jupyter Interacting with Big Data Jupyter Security Jupyter Labs Index

Adding the Scala engine


Scala is described as a general-use language that is concise and elegant. Scala is an extension of the Java language and can call upon Java libraries. Its syntax is very similar as well.

How to do it...

We now go over the steps to install the Scala engine and run a Scala script.

Installing the Scala engine

The Scala engine implementation is immature. There may be better installations available for non-Windows environments, but for Windows I followed the following instructions, where someone had built a version of the Scala engine for Windows that you can add to your environment.

At the bottom of this issue on the Jupyter Scala board at https://github.com/jupyter-scala/jupyter-scala/issues/108, there is a link to the code that you can use. At the bottom of that issue is the actual link: https://github.com/jupyter-scala/jupyter-scala/issues/1#issuecomment-315643483. Here, someone has set up a Scala engine for Windows to download at https://github.com/rvilla87/Big-Data/raw...

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