Pandas is a very convenient, yet powerful, data handling and analysis library written in Python and Cython. I'll review the basic functions and then spend the majority of my time on the intermediate to advanced features of the library, along with some of the related tools for handling larger scale data analysis problems with Pandas.
John Granieri works @ SIG, a proprietary trading firm located just outside Philadelphia, PA, working on research computing for automated trading systems. He holds a Ph.D. in Computer Science from University of Pennsylvania where he studied and worked on interactive 3D animation systems. He's been using Python in various forms and for various roles in automation for almost 20 years.