redis

For the past month, I’ve been pleasantly hacking my Cubieboard to try out several different things. This time, I wanna know how performant Cubieboard is. Benchmarks are configured in such a way to replicate a real Web Application. Preparing Here are the specs for my Cubieboard: AllWinner A10 ARM Single Core CPU 1 GB DDR3 @ 480 MHz 5V / 2A = 10 Watts SATA HD - 5400 RPM Cubian r7 - http://cubian. [Read More]

Been doing some more work with this OAuth 1.0 Provider and as it turns out, my implementation so too lean. Having said that, it’s exactly what I aimed for in the beginning: A simple lean OAuth 1.0 Provider implementation without getting buried over the concept of OAuth itself. This iteration still have more things to be introduced. As pointed by willhn at GeekTalk.in here, OAuth 1.0 allow the OAuth authorization data to be passed through HTTP Authorization Header and POST. [Read More]

Just finished work on a Naive Bayes Classifier in Python. Was interested to benchmark Python performance with large data sets. Also had the chance to get to know more about Cython. Indeed as a C extension, it increased performance. So this project all started from my own implementation in PHP here. As it turns out, PHP is more performant than Python as of version 1.0.4 of this library. But there are differences. [Read More]

During the last week, I’ve been following up work with a side project to do machine learning with Urbanesia’s comprehensive data. A lot of late night reading and fiddling with foreign codes were the highlights of my last week. Wanted to elaborate my implementations and how several kinds of technologies affect benchmarks particularly with classification performance. The repo for the codes is at Github here. During time span of the first batch of codes until now, I have made lots of changes to the codes and also the data store. [Read More]