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Learning Jupyter

You're reading from   Learning Jupyter Select, Share, Interact and Integrate with Jupyter Notebook

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Product type Paperback
Published in Nov 2016
Publisher Packt
ISBN-13 9781785884870
Length 238 pages
Edition 1st 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 (11) Chapters Close

Preface 1. Introduction to Jupyter FREE CHAPTER 2. Jupyter Python Scripting 3. Jupyter R Scripting 4. Jupyter Julia Scripting 5. Jupyter JavaScript Coding 6. Interactive Widgets 7. Sharing and Converting Jupyter Notebooks 8. Multiuser Jupyter Notebooks 9. Jupyter Scala 10. Jupyter and Big Data

Interact widget


Interact is the basic widget that is often used to derive all other widgets. It has variable arguments, and, depending on these arguments, can affect many different variations of user input control.

Interact widget slider

We can use interact to produce a slider by passing in an extent. Take the following script:

from ipywidgets import interact
# define a function to work with (cubes the number)
def myfunction(arg):
    return arg+1
interact(myfunction, arg=9);

Here, we have a script that does the following:

  • References the package we want to use

  • Defines a function (which is called for every user input of a value)

  • Calls out to interact, passing our handler and a range of values

When we run this script, we get a scrollbar that is modifiable by the user:

The user is able to slide the vertical bar over the range of values. The upper end is 27 and the lower end is -9 (assume we could pass additional arguments to interact to set the range of values that are selectable). myfunction is...

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