Interactive Visualizations In Jupyter Notebook

Alex Martinelli
Towards Data Science
8 min readSep 27, 2017

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This entry is a non-exhaustive introduction on how to create interactive content directly from your Jupyter notebook. Content mostly refers to data visualization artifacts, but we’ll see that we can easily expand beyond the usual plots and graphs, providing worthy interactive bits for all kind of scenarios, from data-exploration to animations.

I am going to start with a brief introduction to Data Visualization and better define the scope and meaning of interactiveness as intended in this article.
I will then provide a quick overview of the tools…

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Data Scientist @ Zalando Dublin - Machine Learning, Computer Vision and Everything Generative ❤