Interactive Visualizations in JupyterLab and PixiJS || Jeremy Tuloup
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201The Jupyter ecosystem already comes with popular libraries for creating interactive charts such as Bokeh and Plotly. But in some situations, we need access to a lower level API to draw custom shapes (triangles, circles, squares). The purpose of this presentation is to go through examples of custom JupyterLab extension using Jupyter Widgets and a JavaScript library called Pixi.js.
EVENT:
PyData Berlin 2018
SPEAKER:
Jeremy Tuloup
PERMISSIONS:
PyData provided Coding Tech with the permission to republish this video.
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Tags:
data visualizations
interactive visualizations
jupyter notebook
jupyterlab
pixijs
javascript