Scientific research cannot progress without the development of new software to revolutionise data analysis. Open source development within the academic community is key to achieveing this, which is something I strive for in my own work. I am therefore a strong advocate of the .Astronomy and Python in Astronomy conference series.

Below are a couple of links to some of the hack day projects I have been involved with along with astrophysical software I have written.


A python Bayesian MCMC routine to determine the exponentially quenched star formation history of a galaxy given it's optical and NUV photometry.


A matplotlib figure class to produce presentaiton worthy plots from existing python plotting code with the replacement of one line.


A javascript web app to geographically visualise the citations to a published astronomical paper on the ADS.


A javascript web app to visualise the GitHub repositories of the Zooniverse using the D3 codeflower tool.

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