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It's also easy to include your graphs from your IPython Notebook. For example, below is a graph from a [NYT article](http://www.nytimes.com/interactive/2009/03/01/business/20090301_WageGap.html?_r=0) on the gender wage gap written in Python and available in [this IPython Notebook](http://nbviewer.ipython.org/github/plotly/IPython-plotly/blob/master/Bubble%20Chart%20Explorer.ipynb).  src="https://plot.ly/~MattSundquist/736/730/500/"width="730"</span>&nbsp;<span class='diff-add'>src="https://plot.ly/~IPython.Demo/400/650/500/"width="650"</span>&nbsp; height="500" seamless="seamless" scrolling="no">