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
Querying Hacking Incidents with Style (Python)
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