Jupyter widgets provide simple ways to add interactivity into notebooks. However, sharing these interactive notebooks is challenging since potential viewers need to open the notebook and run cells in order to interact with widgets. Although nbconvert can convert notebooks with widgets into HTML files, the widgets in the HTML files lose functionality because browsers typically don’t natively run Python.
Sam Lau and Caleb Siu offer an overview of nbinteract and walk you through the steps to publish an interactive web page from a Jupyter notebook. To demonstrate how nbinteract’s set of functionality is particularly useful for creating materials to teach data science, Sam and Caleb share how they have used nbinteract for the online textbook of a popular UC Berkeley data science course. They conclude by opening up the floor to discuss other possible applications and use cases for the library.
Sam Lau is a graduate student at UC Berkeley, where he is working on a master of science, advised by Josh Hug. Sam is interested in improving data science education. Currently, he’s building tools to make it easy to create and publish interactive educational content online.
Caleb Siu is studying computer science and economics at UC Berkeley. Caleb is interested in applying data science in the context of education and social good. He’s currently working on nbinteract, a project that allows users to easily create interactive visualizations with just a few lines of Python.
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