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Adding bqplot to the data visualization section

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bqplot is one of the leading libraries in using the Jupyter widgets infrastructure to enable seamless interactive plotting!
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Dhruv Madeka 2017-10-04 15:02:30 -04:00 committed by GitHub
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@ -345,6 +345,7 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
* [Altair](https://github.com/altair-viz/altair) - Declarative statistical visualization library for Python. * [Altair](https://github.com/altair-viz/altair) - Declarative statistical visualization library for Python.
* [Bokeh](https://github.com/bokeh/bokeh) - Interactive Web Plotting for Python. * [Bokeh](https://github.com/bokeh/bokeh) - Interactive Web Plotting for Python.
* [bqplot](https://github.com/bloomberg/bqplot) - Interactive Plotting Library for the Jupyter Notebook
* [ggplot](https://github.com/yhat/ggpy) - Same API as ggplot2 for R. * [ggplot](https://github.com/yhat/ggpy) - Same API as ggplot2 for R.
* [Matplotlib](http://matplotlib.org/) - A Python 2D plotting library. * [Matplotlib](http://matplotlib.org/) - A Python 2D plotting library.
* [Pygal](http://www.pygal.org/en/latest/) - A Python SVG Charts Creator. * [Pygal](http://www.pygal.org/en/latest/) - A Python SVG Charts Creator.