posts

2022 December 9 PyData Global 2022 talk on reliable data science
2022 November 3 Bayesian equivalent of power analysis
2022 September 30 Targeting lead service line projects to minimize childhood exposure
2021 March 7 Assigning students to rank-ordered group projects with linear optimization
2020 April 19 Dirichlet-multinomial model for Skittle proportions
2016 July 20 SciPy 2016: "Data Science is Software" tutorial
2016 July 4 From German Tanks to stochastic fortune cookies
2015 December 19 Solving the Bayesian German Tank problem with PyMC and PyStan
2015 August 8 Speeding up non-vectorizable code with Cython
2015 May 11 Code in "Blackhat" is hilariously wrong but recognizable Python
2015 February 26 Combinatorial optimization, deterministic and stochastic approaches
2014 December 25 Looking at (small) data from five years of driving
2014 October 24 My talk on scikit-learn at Statistical Programming DC
2014 September 20 Using Pelican to blog with IJulia notebooks (or other languages)
2014 August 27 Frogs, flies, and Julia
2014 June 20 Using Python for linear optimization
2014 June 16 To catch a spy (using Markov chains)
2014 January 8 Analyzing Dunkin' Donuts' business with scraped data
2014 January 3 Modeling chutes and ladders as a Markov chain
2014 January 1 In-mapper combiner pattern for MapReduce
2013 December 30 Metropolis-Hastings and slice sampling in Python