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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
Tools
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Toc

Table of Contents (18) Chapters Close

Title Page
Packt Upsell
Contributors
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? 1. Other Books You May Enjoy Index

Chapter 11. Multiuser Jupyter Notebooks

Jupyter Notebooks have the inherent ability to be modifiable by users when the user enters data or makes a selection. However, there is an issue with the standard implementation of the Notebook server software that does not account for more than one person working with a Notebook at the same time. The Notebook server software is the underlying Jupyter software that displays the page and interacts with the user—it follows the directions in your Notebook for display and interaction.

A Notebook server, really a specialized internet web server, typically creates a new path or thread of execution for each user to allow for multiple users. A problem arises when a lower-level subroutine, used for all instances, does not properly account for multiple users where each has their own set of data.

Note

Note that some of the coding/installs in this chapter may not work in a Windows environment.

In this chapter we will explore the following:

  • Give an example of the issue...
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