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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
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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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

Interact widget


Interact is the basic widget which is appears to be used to derive all other widgets. It has variable arguments, and depending on the arguments, will portray a different kind of user input control.

Interact widget slidebar

We can use interact to produce a slidebar by passing in an extent. For example, we have the following script:

#imports 
from ipywidgets import interact 
 
# define a function to work with (cubes the number) 
def myfunction(arg): 
    return arg+1 
 
#take values from slidebar and apply to function provided 
interact(myfunction, arg=9); 

Note

Note that the semicolon following the interact function call is required.

We have a script which does the following:

  •  References the package we want to use
  •  Defines a function that is called for every user input of a value
  •  Calls 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...

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