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IPython Interactive Computing and Visualization Cookbook - Second Edition
book

IPython Interactive Computing and Visualization Cookbook - Second Edition

by Cyrille Rossant
January 2018
Beginner to intermediate
548 pages
12h 11m
English
Packt Publishing
Content preview from IPython Interactive Computing and Visualization Cookbook - Second Edition

Creating custom Jupyter Notebook widgets in Python, HTML, and JavaScript

The ipywidgets packages provides many built-in control widgets to interact with code and data in the Jupyter Notebook. In this recipe, we show how to build a custom interactive widget from scratch, using Python on the kernel side, and HTML/JavaScript on the client side (frontend). The widget just displays two buttons to increase and decrease a number. The number can be accessed and updated either from the kernel (Python code) or the client (browser).

How to do it...

  1. Let's import the packages:
    >>> import ipywidgets as widgets
        from traitlets import Unicode, Int, validate
  2. We create a CounterWidget class deriving from DOMWidget:
    >>> class CounterWidget(widgets.DOMWidget): _view_name ...
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Publisher Resources

ISBN: 9781785888632