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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

Leave a review - let other readers know what you think

Sharing Notebooks

The typical mechanism for sharing Notebooks is to provide your Notebook on a website. A website is running on a server or allocated machine space. The server takes care of all the book-keeping involved in running a website, such as keeping track of multiple users and logging people on and off.

In order for the Notebook to be of use though, the website must have Notebook logic installed. A typical website knows how to deliver content as HTML given some source files. The most basic form is pure HTML, where every page you access on the website corresponds exactly to one HTML file on the web server. Other languages could be used to develop the website (such as Java or PHP), so then the server needs to know how to access the HTML it needs from those source files. In our context, the server needs to know how to access your Notebook in order to deliver HTML to users.

Even when Notebooks are just running on your local machine, they are running in a browser that is accessing your...

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