Source code for R package structSSI, implementing the Hierarchical FDR procedure and Group Benjamini-Hochberg procedure.
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This repository contains IPython notebooks and other resources from my talk IPython is Great (for large-scale computation, data exploration, and creating reproducible research artifacts). The slides and IPython notebooks from my talk were featured in the 2013 Data Science course at Harvard.
Lectures on scientific computing with python, as IPython notebooks.
Code documentation written as code! How novel and totally my idea!
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)