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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 JavaScript engine

JavaScript is another engine that can be used with Jupyter. Actually, it is node.js rather than JavaScript. node.js is a superset of JavaScript. node.js is an extension of JavaScript that is expected to be run on a server. As with JavaScript, node.js is cross-platform.

How to do it...

We will go over the steps to install the engine and run a small script.

Installing the Node.JS engine

First, we need to install node.js. It is available from node.js.org. From this site, you can download and install node.js on your machine directly....

You have been reading a chapter from

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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