A Coder's Guide to Coffee
A Coder’s Guide to Coffee [Originally I posted this article on Thu Apr 25th, 2002 at 02:29:34 PM EST to Kuro5hin.org. I am reprinting it here with minor corrections.] As most software and creative professionals know, coffee is an important technology for boosting mental acuity and maintaining peak on-the-job performance. But did you also know that coffee can be a damn tasty beverage? It’s true. Al
How I stopped missing Darcs and started loving Git
Posted by Tom Moertel Mon, 10 Dec 2007 21:52:00 GMT About three years ago, I switched to Darcs as my primary source-code management system. It was simple, intuitive, and powerful, and it made managing my projects more fun and less frustrating than any centralized VCS ever had. That it was written in Haskell, one of my favorite programming languages, made it even better. I was hooked. Since then, t
R tips and tricks: Producing smooth bitmap plots
Tom Moertel's Weblog Quality rants on programming theory and stuff geeks like Posted by Tom Moertel Sun, 26 Aug 2007 01:56:00 GMT The R statistics system can produce first-class data visualizations, commonly known as plots. Internally, plots are represented in an abstract graphics format that can be rendered on any of R’s wide range of graphics “devices” to produce concrete output – windows, bitma
Talk: Fun with Numbers: R and Perl (and IMDB data)
Tom Moertel's Weblog Quality rants on programming theory and stuff geeks like Posted by Tom Moertel Thu, 21 Jun 2007 18:38:00 GMT Last week I gave a talk on the R statistics system and Perl for the Pittsburgh Perl Mongers. The example that threaded through the talk was something I have written about here before, extracting useful information from the Internet Movie Database. If you’ve read my earl
Power parsing with Haskell and Parsec
One of the projects I’m working on is a language to help researchers manipulate genetics information. Despite all the well-publicized advances in genetics, researchers still spend about a third of their time writing shell, awk, and Perl scripts to manipulate their data. If researchers can get some of this time back, they can use it to think about more interesting problems, like curing cancer and s
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