Book Image

Jupyter Cookbook

By : Dan Toomey
Book Image

Jupyter Cookbook

By: Dan Toomey

Overview of this book

Jupyter has garnered a strong interest in the data science community of late, as it makes common data processing and analysis tasks much simpler. This book is for data science professionals who want to master various tasks related to Jupyter to create efficient, easy-to-share, scientific applications. The book starts with recipes on installing and running the Jupyter Notebook system on various platforms and configuring the various packages that can be used with it. You will then see how you can implement different programming languages and frameworks, such as Python, R, Julia, JavaScript, Scala, and Spark on your Jupyter Notebook. This book contains intuitive recipes on building interactive widgets to manipulate and visualize data in real time, sharing your code, creating a multi-user environment, and organizing your notebook. You will then get hands-on experience with Jupyter Labs, microservices, and deploying them on the web. By the end of this book, you will have taken your knowledge of Jupyter to the next level to perform all key tasks associated with it.
Table of Contents (17 chapters)
Title Page
Copyright and Credits
Packt Upsell

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 From this site, you can download and install node.js on your machine directly. The installer for Windows is a standard design that looks similar for other environments.

Next, we need to install the JavaScript engine, ijavascript. We use the npm tool (installed with node.js) to install ijavascript with the command:

npm install -g ijavascript

The non-Windows running of this script is within sudo (the run command as a superuser), so I think the equivalent would be to run this script from a command window that is run as administrator...