From a5b1a866c836b887a24e9c40cb9969bbb6860e97 Mon Sep 17 00:00:00 2001
From: Dhruv Madeka <dmadeka@users.noreply.github.com>
Date: Wed, 4 Oct 2017 15:02:30 -0400
Subject: [PATCH] Adding bqplot to the data visualization section

bqplot is one of the leading libraries in using the Jupyter widgets infrastructure to enable seamless interactive plotting!
---
 README.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/README.md b/README.md
index 9ab5869e..594caf6b 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.