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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

Product type Paperback

Published in Apr 2018

Publisher Packt

ISBN-13 9781788839440

Length 238 pages

Edition 1st Edition

Languages

JavaScript

Tools

Jupyter

Concepts

Data Analysis

Author (1):

Dan Toomey

View More author details

Table of Contents (12) Chapters

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 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...

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Jupyter Cookbook

Published in: Apr 2018

Publisher: Packt

ISBN-13: 9781788839440

© 2018 Packt Publishing Limited All Rights Reserved

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Authors (1)

Toomey

Toomey

Dan Toomey has been developing application software for over 20 years. He has worked in a variety of industries and companies, in roles from sole contributor to VP/CTO-level. For the last few years, he has been contracting for companies in the eastern Massachusetts area. Dan has been contracting under Dan Toomey Software Corp. Dan has also written R for Data Science, Jupyter for Data Sciences, and the Jupyter Cookbook, all with Packt.

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