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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
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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 (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

What is Jupyter dashboards?


In this recipe, we will learn how to install and enable Jupyter dashboards layout extension to your Notebook. 

Getting ready

You first need to install the extension in your environment. You can use the conda command:

conda install jupyter_dashboards -c conda-forge

You can also use pip to install.

Assuming you have a set of items from a Notebook in mind, you first need to start Jupyter with the extension enabled. You enable the extension once from the command line (every time you start your computer) using the following command:

jupyter nbextension enable jupyter_dashboards --py --sys-prefix

You can then start your Notebook as usual.

How to do it...

When you start your Notebook, there is an icon gadget set at the top of the Notebook that you can work with:

If you hover over the middle icon you get a submenu:

It has the corresponding View menu items:

The icon gadget and menu items are:

  • Notebook: Edit the code
  • Dashboard Layout:
    • Grid layout: Size and position of the dashboard cells...
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