In this tutorial video, we'll learn about ipywidgets, a Python library for building interactive HTML widgets for your Jupyter browser. We begin by answering, "What is ipywidgets?" Also called Jupyter Widgets or Widgets for short, ipywidgets help students with interactive learning and help researchers understand their model parameters. We then talk about how you can install ipywidgets and get started importing the library and building a basic integer slider (IntSlider). I show you how to display the widget and various properties of the IntSlider. Next we move on to an example from my YouTube channel: a KDE bandwidth widget. I show you how to link up your seaborn or matplotlib figures with ipywidgets to explore various parameters with a Jupyter Widgets interactive plot. We end by talking about other widgets you can make, such as check boxes, drop downs, date pickers, animations, and more.

0:00 Introduction
0:22 What is ipywidgets?
0:50 Installing ipywidgets
1:09 ipywidgets IntSlider Basics
3:17 KDE Widget Example
7:36 Other Widgets

GitHub CODE:
[ Ссылка ]

ipywidgets DOCUMENTATION:
[ Ссылка ]

Related VIDEOS:
Seaborn KDEplot - [ Ссылка ]
Matplotlib change axes LIMITS - [ Ссылка ]

#dataviz #ipywidgets

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