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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

Product type Paperback

Published in Aug 2018

Publisher

ISBN-13 9781789137408

Length 282 pages

Edition 2nd Edition

Languages

Java

Tools

Jupyter

Concepts

Data Analysis

Author (1):

Dan Toomey

View More author details

Table of Contents (14) Chapters

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

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JavaScript limitations in Jupyter

JavaScript was originally used to specifically address the need for scripting inside of an HTML page, usually on the client-side (in a browser). As such, it was built to be able to manipulate HTML elements on the page. Several packages have been developed to further this feature, even for creating a web server, especially using extensions such as Node.js.

The use of any of the HTML manipulation and generation features inside of Jupyter runs into a roadblock, since Jupyter expects to control presentation to the user.

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