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The Jupyter Interactive Widget Ecosystem | SciPy 2021
The Jupyter Interactive Widget Ecosystem | SciPy 2017 Tutorial | Matt Craig, Sylvain Corlay, & Jason
Introduction to ipywidgets | Jupyter Widgets Introduction | What is ipywidgets with an example
PyParis 2018 - Interactive widgets in the Jupyter Notebook
bqplot Seamless Interactive Visualizations and Dashboards in the Jupyter Notebook | SciPy 2018
Interactive 3D Visualization in Jupyter | SciPy 2018 | Maarten Breddels
Getting Started with JupyterLab | SciPy 2019 Tutorial | M. Bussonnier, J. Grout, S. Stattel
Sylvain Corlay - Interactive Visualization in Jupyter with Bqplot and Interactive Widgets
How to integrate widgets with jupyter notebooks
Interact with your code: Using interactive widgets in Jupyter Notebooks
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Last Updated: October 27, 2026
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Summary
And in the chat there's a jason bqplot is a Python plotting library based on d3.js that offers its functionality directly in I will present ipyvolume, which is a 3d plotting library for JupyterLab is a new frontend for PyData London 2016 GitHub Repo: github.com/SylvainCorlay/ Speaker: Ridhi Kapoor One of the most important parts of a data scientist's job is to be able to visualize and get insights from data.
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