Book Image

Learning Jupyter

By : Dan Toomey
Book Image

Learning Jupyter

By: Dan Toomey

Overview of this book

Jupyter Notebook is a web-based environment that enables interactive computing in notebook documents. It allows you to create and share documents that contain live code, equations, visualizations, and explanatory text. The Jupyter Notebook system is extensively used in domains such as data cleaning and transformation, numerical simulation, statistical modeling, machine learning, and much more. This book starts with a detailed overview of the Jupyter Notebook system and its installation in different environments. Next we’ll help you will learn to integrate Jupyter system with different programming languages such as R, Python, JavaScript, and Julia and explore the various versions and packages that are compatible with the Notebook system. Moving ahead, you master interactive widgets, namespaces, and working with Jupyter in a multiuser mode. Towards the end, you will use Jupyter with a big data set and will apply all the functionalities learned throughout the book.
Table of Contents (16 chapters)
Learning Jupyter
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface

Installing the Scala kernel


There is currently no process for installing the Scala kernel in a Windows environment. I'm not sure why. I expect this to change over time.

The steps for Mac OS/X are given here (taken from https://developer.ibm.com/hadoop/2016/05/04/install-jupyter-notebook-spark):

  1. Install GIT using this:

    yum install git
    
  2. Copy the Scala package locally:

    git clone https://github.com/alexarchambault/jupyter-scala.git
    
  3. Install the sbt build tool by running this:

    sudo yum install sbt
    
  4. Move to the Scala package directory:

    cd jupyter-scala
    
  5. Build the package:

    sbt cli/packArchive
    
  6. To launch the Scala shell, use this command:

    ./jupyter-scala
    
  7. Check the kernels installed by running this command: (you should see Scala in the list now):

     jupyter kernelspec list
    
  8. Launch the Jupyter Notebook:

    jupyter notebook
    
  9. You can now choose to use a Scala 2.11 shell.

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

If we create a Scala notebook, we end up with the familiar layout...