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This page was updated on 2012-02-05 (NZST) and is tagged software, programming.

I enjoy writing code to solve simple problems; this does not mean that I am good at it, but only that I have fun while doing it. Although I have dabbled using compiled languages (like C++ and Fortran-90 onwards) most of my coding is based on scripting languages. These days I tend to use the most R and Python.

R

1. These days I publish most of my data analysis code in the Quantum Forest blog.
2. Useful (to me) code snippets.
3. I have a whole section on asreml-r, a highly flexible REML (Residual Maximum Likelihood) package that works with multivariate, longitudinal, spatial, etc. data.

Python

1. Generating dynamic Google maps with Python.
2. Publon a very simple Python HTML publication script.
3. Driving ASReml from Python mostly for simulation work.
4. Understanding the Monty Hall Problem using a simple simulation.
5. Running a basic text analysis on Huckleberry Finn.

Processing

1. A linear regression example (In progress).

All bits sowed, harvested and baked in Christchurch, New Zealand—43º31'S, 172º32'E—by Luis Apiolaza with some rights reserved. A longer blurb and gory technical details can be found in the colophon.