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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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Toc

Table of Contents (12) Chapters Close

Preface 1. Installation and Setting up the Environment 2. Adding an Engine FREE CHAPTER 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 are widgets?


Widgets are input devices that can be displayed in a Jupyter Notebook. The Notebook author controls the interaction with the input control and adjusts the Notebook display accordingly. By using widgets, the user has an input device or control that can be used to directly adjust data.

A widget can be of many types:

  • Slider—the user is provided a control that can slide from one value to another
  • Progress bar
  • Input field for text and numeric values
  • Toggle switch
  • Checkbox
  • Drop-down selection list
  • Radio button
  • Date picker
  • Color picker
  • A range of display-only devices, such as a valid data marker
  • Adjustments to the Notebook, such as adding tabs to the display
  • A catch-all, where you can produce your own custom widget

All input controls, where the user is typing or clicking, have a mechanism to provide feedback to the Notebook as to what action the user took; for example, if the user clicked on a button, a handler would be called in the Notebook. A handler is a language-specific set of code that...

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