Querying Hacking Incidents with Style (Python)

Some months ago I attended a presentation where one of my colleagues, Panos, showed how he used Python to process data in a meaningful way. In particular, he showed how he extracted some interesting findings from a .csv file coming from the Boston Mayor’s 24 Hour Constituent Service web site. Such findings involved incidents that were still open by then, how many incidents were closed in a justifiable amount of time and others. Continue reading

Personal Recommendation Engines

In the last decade the Internet has come to dominate how we consume information. News, entertainment, and even education, are often a click away. If you know what you want, a few typed words can lead you to the webpage you seek. But what if your search is less concrete? What if you are looking to find inspiring, new, undiscovered content to consume? You could certainly ask a friend, or you could ask a personal recommendation engine. Continue reading