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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
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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

Docker

Docker is another mechanism that can be used to allow multiple users of the same Notebook without collision. Docker is a system that allows you to construct sets of applications into an image that can be run in a container. Docker runs in most environments. Docker allows for many instances of an image to be run in the same machine, but to maintain a separate address space. So, each user of a Docker image has their own instance of the software and their own set of data/variables.

Each image is a complete stack of software necessary to run, for example, a web server, web application(s), APIs, and more.

It is not a large leap to think of an image of your Notebook. The image contains Jupyter server code and your Notebook. The result is a completely intact unit that does not share any space with another's instance.

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