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Jupyter Cookbook

You're reading from   Jupyter Cookbook Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788839440
Length 238 pages
Edition 1st Edition
Languages
Tools
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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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Toc

Table of Contents (12) Chapters Close

Preface 1. Installation and Setting up the Environment FREE CHAPTER 2. Adding an Engine 3. Accessing and Retrieving Data 4. Visualizing Your Analytics 5. Working with Widgets 6. Jupyter Dashboards 7. Sharing Your Code 8. Multiuser Jupyter 9. Interacting with Big Data 10. Jupyter Security 11. Jupyter Labs

Converting your Notebook into a different format


Another mechanism is to convert your Notebook into a different, normally non-interactive format. This allows you to distribute the Notebook result to users without access to your server. A Notebook can be converted to a set of formats discussed in this section.

Note

Sharing your Notebook using kyso: kyso is a Notebook sharing site particularly for scientists to exchange Notebook information. I do not think it would be a good idea for me to push a sample Notebook onto the site. You can get various sorts of subscription access to kyso.

How to do it...

For the conversions, we will be using a minimal R script that describes the iris dataset. The code is:

data(iris)
head(iris)
summary(iris)
plot(iris)

Producing the now-familiar data points for the iris set and the corresponding plot:

With the corresponding graph of the iris data:

We will be using the Jupyter File menu options for this section, as you can see here:

Where the choices listed are:

  • Notebook:...
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