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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

Widgets


There is another package of widgets, called widgets, that has all of the standard controls you might want to use, with many optional parameters available to customize your display.

The progress bar widget

One of the widgets available in this package displays a progress bar to the user. We could have the following script:

import ipywidgets as widgets 
widgets.FloatProgress( 
    value=45, 
    min=0, 
    max=100, 
    step=5, 
    description='Percent:', 
) 

The preceding script would display our progress bar as follows:

We see a progress bar that looks to be 45%.

The listbox widget

We could also use the listbox widget, called a Dropdown, as in the following script:

import ipywidgets as widgets 
from IPython.display import display 
w = widgets.Dropdown( 
    options={'Pen': 7732, 'Pencil': 102, 'Pad': 33331}, 
    description='Item:', 
) 
display(w) 
w.value 

This script will display a listbox to the user with the values Pen, Pencil, and Pad. When the user selects one of the values, the associated...

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