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Now your readers can can:  \textbf{Launch IPython} directly in their browsers (by clicking on the link in the bottom left of the figure block), see your annotated data and code,and  test it,  and adjust it. it to their heart's content.  Beyond the obvious advantages this provides for streamlining the scientific process, imagine implementing this to facilitate classroom learning or centralizing repeated analysis in a lab setting. What's more, it gives you a place to be very descriptive with your code. In the predator-prey modeling example below, a detailed walk-through is given in the IPython Notebook. The hope is that anyone so inclined could modify or fork it, perhaps adding a third organism or some other environmental constraints. Or, if they had some ecological data, to test to see how well the model fit it.Science is a creative and iterative process.