The second entry in the Biased Intro to Computer Science series. Here we take a look at genetic programming, the bastard little brother of genetic algorithms.
A look at the advantages and disadvantages of using Django with the Google App Engine. Touches on the GAE platform itself, as well as looking at areas where ported Django projects will have to be adapted to the App Engine's unique environment.
A meandering story about creating a simple if-else derivative template tag that matches arbitrary values against regular expressions instead of matching boolean values.
Very brief post on how to reproduce the behavior of receive-after in an Erlang gen_server. Useful for recurring tasks.
As many of you (if anyone actually reads these) already know, I am back from Japan. Here are a few thoughts about returning back to America.
For the past few days I have been working out this project in my head, and I finally sat down this morning to finish the implementation. django_monetize is a pluggable Django application for easily using a diverse array of monetization techniques in your Django project, and also for targeting different ads/monetization options based on the viewer and page content.
With ten minutes before bed and 35 megs of images to scale, I had my first encounter with Automator. It was a good encounter, and I heartily recommend it to others for--at minimum--batch scaling images.
Sometimes working in middle management feels like being trapped purgatory between making policy and making software. Tom DeMarco's Slack paints a much rosier picture.
This next installment in the Introduction to BeepBeep series takes a look at pairing CouchDB with BeepBeep to begin consolidating the necessary toolkit to construct plausible web applications.
In management we often find ourselves balancing the freedoms of the few against the freedoms of the many. This is, as you might imagine, a tricky business.
Software engineer, technical leader, sci-fi reader, and so on. Born in NC, living in SF, and glad to grab a coffee.