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@@ -42,6 +42,7 @@ Use it for writing experimental code, scanner code, bash scripts and so on.
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* Not sure how to code something? It may have an answer on [stack overflow](https://stackoverflow.com/).
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## Generating publication quality figures
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* Data visualization has been made very easy with [matplotlib](https://matplotlib.org) and a library called [seaborn](http://seaborn.pydata.org/index.html)
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* Save your figures in svg, or eps. pngs do not scale well and are impossible to modify.
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## Statistical Analysis
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* Learn to love Bayesian statistics, if you don't already.
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