[Chicago] ChiPy January 14th Meeting

[Tathagata Dasgupta]

Thanks for catching that Randy!
Ellie Anderson will be presenting - I'll update the page later tonight.

On Tue, Jan 12, 2016 at 8:28 AM Randy Baxley <randy7771026 at gmail.com> wrote:

> 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
>>
>>
> _______________________________________________
> Chicago mailing list
> Chicago at python.org
> https://mail.python.org/mailman/listinfo/chicago
>
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