October 2015
Beginner
200 pages
3h 56m
English
The Jupyter Notebook application is based on HTML and runs in a web browser. This platform supports many kinds of rich content such as images, mathematical equations, interactive widgets, videos, and much more. Jupyter proposes several methods to leverage these capabilities.
In this section, we'll show how to display HTML, SVG, and JavaScript elements, notably with the Data-Driven Documents (D3) JavaScript visualization library.
Scalable Vector Graphics (SVG) is an open XML-based file format describing vector graphics. Most modern web browsers support this format.
For displaying objects, IPython provides a simple API for representing rich content like SVG. In the following ...
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