Make your code come alive: using interactive Jupyter notebooks outside of the sciences
By Ludovico Bianchi

Combining code, output, and prose in a single interface, Jupyter notebooks are ideally suited for exploratory data analysis, making them an increasingly essential tool in the sciences and in data science.

Thanks to the efforts of the open-source community behind them, an expanding panorama of tools, extensions, and open standards emerged, effectively turning Jupyter notebooks into a versatile platform that can be used successfully outside its more typical fields of application.

The talk's main focus is on interactivity in Jupyter, and specifically strategies and tools that can be used to gradually add functionality to existing code in just a few steps, using examples from outside the areas of science or data science.

After a brief introduction about Jupyter, we'll explore:

• How to make your objects feel at home in the notebook with custom rich output methods;
• How to turn a function into an interactive dashboard with as few as a single line of code with ipywidgets;
• How to convert a notebook into a standalone web application with Voilà;
• How to share notebooks that everyone can run with one click using Binder

By the end of this talk, folks who are new to Jupyter will receive an overview of Jupyter's features for interactivity, while experienced users will have the chance to look at different use cases for familiar tools.