[Chicago] ChiPy January 14th Meeting

Randy Baxley randy7771026 at gmail.com
Tue Jan 12 09:27:37 EST 2016


Who is presenting *Building a BusTracker Tracker?*

On Tue, Jan 12, 2016 at 2:09 AM, Joe Jasinski <joe.jasinski at gmail.com>
wrote:

> ChiPy,
>
> We hope to see you on Thursday January 14th for this month's ChiPy
> Meeting. Over the past few months, the mentors and mentees of the ChiPy
> Mentorship Program have been working hard on Python projects of all types.
> Come see what they have been up to as they present their work. All are
> welcome! Please RSVP <http://www.meetup.com/_ChiPy_/events/227193890/>
>  soon.
>
> *When:*
> Thursday January 14th, 7:00pm
>
> *How:*
> You can rsvp at chipy.org or via our Meetup
> <http://www.meetup.com/_ChiPy_/> group.
>
> *Where:*
> GogoAir <https://goo.gl/maps/2Sx7GYGyenp>
> 111 N Canal St. Chicago, IL 60606
>
> *What:*
>
>    - *Dustin Shapiro's Python 101 Menteeship!*
>    By: Dustin Shapiro
>    This is a brief overview depicting where I started before this
>    mentorship, through the various projects me and Ray worked on, and where I
>    plan to take it moving forward!
>    - *Building a BusTracker Tracker*
>    By:
>    First, I’ll discuss a data-gathering pipeline that uses AWS Lambda
>    functions written in Python to scrape CTA’s BusTracker prediction service
>    and interpolate actual arrival times. Then I’ll detail an API written in
>    Django REST Framework to select and analyze a range of data. Finally, a
>    simple JavaScript-based front-end visualizes the data provided by the API.
>    - *Using Python for Kaggle competitions*
>    By: Hana Lee
>    (Lightning talk as part of ChiPy mentorship) I'll be talking about
>    using Python to develop a classifier for a Kaggle competition looking at
>    crime data in San Francisco
>    - *Constructing a risk metric from google query data*
>    By: Michael Tamillow
>    We have created a dataset from the search queries provided by Google
>    and matched it up with some market data. We will attempt to produce a some
>    metric or predictive model given the limited, slightly correlated data.
>
>
>
> Thanks always to all our sponsors, especially: Braintree, Imaginary
> Landscape, and Telnyx.
>
> Please be aware of our code of conduct http://www.chipy.org/pages/conduct/
>
>
>
> --
> Joe J. Jasinski
> www.joejasinski.com
>
> _______________________________________________
> Chicago mailing list
> Chicago at python.org
> https://mail.python.org/mailman/listinfo/chicago
>
>
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