After speaking to a number of academics involved with Monte Carlo simulations, I realised many of them resort to creating bash scripts to run a number of python instances of simulation before writing another script to piece the data back together. It turns out this is incredibly simple to do in IPython, and in particular in an IPython Notebook. We take a look at how to run computations in parallel as well as giving a use-case in the creation of Julia fractals.

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Visualisation is undoubtably a tricky business. There are many questions to ask before even starting: What do I want to convey? What tools do I have? Do I have the right data? This is even before considering whether your visualisation might have introduced a bias in some way. We will look at using Networkx and D3 to produce interactive network diagrams to display multiple layers of data. In this brief introduction we will render a simple graph, add some labels and colours and add some basic interaction.

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