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<a href="https://travis-ci.com/lux-org/lux">
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<img alt="Build Status" src="https://travis-ci.com/lux-org/lux.svg?branch=master" align="center">
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</a>
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<a href='https://lux-api.readthedocs.io/en/latest/?badge=latest'>
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<img src='https://readthedocs.org/projects/lux-api/badge/?version=latest' alt='Documentation Status' align="center"/>
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Lux is a Python library that makes data science easier by automating aspects of the data exploration process. Lux facilitate faster experimentation with data, even when the user does not have a clear idea of what they are looking for. Visualizations are displayed via [an interactive Jupyter widget](https://github.com/lux-org/lux-widget) to allow users to quickly browse through large collections of data directly within their Jupyter notebooks.
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Here are some [slides](http://dorisjunglinlee.com/files/Zillow_07_2020_Slide.pdf) from a recent talk on Lux.
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Here is a [1-min video](https://www.youtube.com/watch?v=qmnYP-LmbNU) introducing Lux, and [slides](http://dorisjunglinlee.com/files/Zillow_07_2020_Slide.pdf) from a more extended talk.
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Try out Lux on your own in a live Jupyter Notebook [here](https://mybinder.org/v2/gh/lux-org/lux-binder/master?urlpath=tree/examples/demo)!
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Try out Lux on your own in a live Jupyter Notebook [here](https://mybinder.org/v2/gh/lux-org/lux-binder/master?urlpath=tree/examples/demo/cars_demo.ipynb)!
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# Getting Started
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