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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
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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

Installing the Scala kernel


The steps for macOS are as follows (taken from https://developer.ibm.com/hadoop/2016/05/04/install-jupyter-notebook-spark): 

Note

I could not get the steps for using the Scala kernel to work on a Windows 10 machine.

  1. Install git using the following command:
yum install git
  1. Copy the scala package locally:
git clone https://github.com/alexarchambault/jupyter-scala.git
  1. Install the sbt build tool by running:
sudo yum install sbt
  1.  Move the jupyter-scala directory to the scala package:
cd jupyter-scala
  1. Build the package:
sbt cli/packArchive
  1.  To launch Scala shell, use the following command:
./jupyter-scala
  1.  Check the kernels installed by running this command (you should now see Scala in the list):
 jupyter kernelspec list
  1. Launch the Jupyter Notebook:
jupyter notebook
  1. You can now choose to use a Scala 2.11 shell.

At this point, if you start Jupyter, you will see Scala listed:

 

 

 

If we create a Scala Notebook, we end up with the familiar layout with an icon displaying that we are running Scala...

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