Data Mascara (Office Hours)

  • September 8, 2014 · 7:00 PM
  • NewsCred

Data themed office hours held Monday evenings, 7-9pm.  

There is no talk scheduled. However, we always welcome impromtu talks. If you'd like to give a talk, send me a message with topic and type of adapter you'll need for your computer.

Some of us will continue working on project from last week. It would be helpful if you bring your computer to code.


Our host for the evening is NewsCred. Bring an ID to sign in at the front desk and take the elevator to the 6th floor. Please RSVP early.

NewsCred offers a content marketing and syndication platform built with Python that allows clients to quickly discover meaningful new articles and images with the help of data science, manage their content, plan their editorial calendars, and measure their ROIs.  (read more)


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  • A former member
    A former member

    I enjoyed analyzing the Numpy module and reviewing some points of comparison between C and Python.

    1 · September 9

  • @aaronchall

    Well, we spent the better part of two hours going through some of the Numpy source, written in C, very fascinating! I rewrote one of the C functions in Python just to demonstrate the semantics of what it was doing, but for the most part, we had to take the comments at face value. I did learn a little bit about Numpy as we were going, but next time I think I'll stick to source code written in Python as the main focus. I hope everyone else got a lot out of it.

    September 8

  • ak

    Hey Aaron, I made an outline of the dataframe code, grouping some methods and adding a few notes, this might be useful to give a general overview and select the more interesting methods to look at.

    September 8

    • @aaronchall

      Cool, that looks useful for our Sunday DataFrame discussions. We'll use that next Sunday to review.

      September 8

  • @aaronchall

    I'm going to plug into the big screen and I'll take any questions as I freestyle through source code and elaborate on it! Any special requests?

    September 8

  • @aaronchall

    Alright, looking forward to guest hosting! It's gonna be just like when retired players come back to host SNL! :D

    August 25

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