| Contents | Jupyter Widgets Tutorial Introduction >

The Jupyter Interactive Widget Ecosystem¶

SciPy 2021¶

Matt Craig, Martin Renou, Itay Dafna, Mariana Meireles, Youness Bennani¶

This tutorial will introduce you to the widgets in the Jupyter Notebook, walk through a few approaches to writing widgets, and introduce some relatively new widget packages.

We are using ipywidgets 7.5 and Jupyter Lab 2.1

0. Introduction
1. Overview
2. Widgets without writing widgets: interact 01. OPTIONAL Interact Exercises
3. Simple Widget Introduction
4. Widgets in the core ipywidgets package 02. Output widgets: leveraging Jupyter's display system
5. Widget Events 01. OPTIONAL Three approaches to events 02. OPTIONAL Password generator: observe 03. OPTIONAL Separating the logic from the widgets 04. OPTIONAL Separating the logic using classes
6. Layout and Styling of Jupyter widgets 01. Layout and Styling of Jupyter widgets 01. Container Layout Widgets 03. OPTIONAL Widget label styling 03. OPTIONAL Predefined widget specific styles 04. OPTIONAL Container exercises
7. More widget libraries 01. ipyleaflet: Interactive maps 02. pythreejs: 3D rendering in the browser 03. bqplot: complex interactive visualizations 04. ipyvolume: 3D plotting in the notebook 05. You can find even more here
8. Dashboarding with widgets 01. So easy, voilà! 02. Deploying voilà

Table of widget and style properties¶

Acknowledgements¶

• Special thanks to the dozens of ipywidgets developers, including Jonathan Frederic, who wrote much of the code in the early years of ipywidgets, Sylvain Corlay, who kept the project going at a critical time, and Jason Grout, who currently leads the project and has nurtured the growth of the widget ecosystem.
• Several of the notebooks in this tutorial were originally developed as part of ipywidgets by Brian E. Granger (@ellisonbg) and Jonathan Frederic (@jdfreder).
• Thanks to Doug Redden (@DougRzz)
• Project Jupyter core developer Carol Willing (@willingc) and Minnesota State University Moorhead students Andrew Block (@ACBlock) and Jane Glanzer (@janeglanzer) provided very useful feedback on early drafts of this tutorial.
• Thanks to Jason Grout, Sylvain Corlay and Maarten Breddels who also contributed to these tutorial Notebooks.

| Contents | Jupyter Widgets Tutorial Introduction >