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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

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Product type Paperback
Published in Aug 2018
Publisher
ISBN-13 9781789137408
Length 282 pages
Edition 2nd Edition
Languages
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Author (1):
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Dan Toomey Dan Toomey
Author Profile Icon Dan Toomey
Dan Toomey
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Table of Contents (14) Chapters Close

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

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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