In this article I'm releasing real-time analytics for this site, as well as analyzing historical data thus far.
I've been thinking a bit more about all the various deployment options for Django, and more specifically how the variety of options can be a bit bewildering for those who haven't setup a server before. Here is a picture-assisted guide to the distinctions between single and multi server architectures.
Genetic Algorithms are one of the most natural approaches to optimization. Did you learn about evolution in grade school? Then you already "get" GA.
Last year Digg released a Streaming API which exposes real-time activity on its site. It's available via JSONP, so this tutorial takes a quick look at dynamically populating a Flot.js graph using the API's data.
This entry performs a quick overview of the different existing user registration for the Django web framework. It should help someone who is attempting to decide between the pluggable user registration/authentication applications.
This article takes a look at creating a threadpool in Python. Specifically it takes a stab at iteratively processing CSV and XML files and farming out the parsed data for processing by a threadpool. The Python logging, csv and ElementTree modules make cameo appearances.
As become further and further embroiled in my current project cycle, I am starting to view everything in terms of feedback loops. Is the project working well? Feedback loops. The guy who is having trouble with implementing part of the system? Feedback loops. Effective communication between product manager and engineers? Feedback loops. Beyond merely being possible to view the world in terms of feedback loops, I've found it rather useful as well.
An overview, some notes and a few snippets on Cocos2d development for the iPhone. Hopefully enough to help someone get started with development, but a few steps short of comprehensive.
I spent a couple of hours reading up on and working through an example project using RethinkDB, and it seems like a great tool, as long as its performance and scalability stories prove themselves out with large scale usage.
I used Google Insights to look at the global search popularity for a dozen programming languages. Although I wasn't inspired with any particularly valuable insights, its still fairly interesting to see the distributions.
Software engineer, technical leader, sci-fi reader, and so on. Born in NC, living in SF, and glad to grab a coffee.