Adding bqplot to the data visualization section
diff --git a/README.md b/README.md
index 9ab5869e5..594caf6b5 100644
--- a/README.md
+++ b/README.md
@@ -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.
 * [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.
 * [Matplotlib](http://matplotlib.org/) - A Python 2D plotting library.
 * [Pygal](http://www.pygal.org/en/latest/) - A Python SVG Charts Creator.

## What is this Python project?

bqplot is one of the leading libraries in using the Jupyter widgets infrastructure to enable seamless interactive plotting!

## What's the difference between this Python project and similar ones?

bqplot is the first library to provide seamless bi-directional communication between the JavaScript and Python. Any plot that is generated is a full web application, which can be controlled by Python interactively.
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