[Chicago] ChiPy January 14th Meeting

[Tathagata Dasgupta]

Woohoo! Two new talks folks!

   - *Shuang Qiu*
   (0:05:00 Minutes)
   By: Shuang Qiu
   Project Goal: Create an interactive dashboard using Django, featuring
   data table and chart which take customized user filtering and sorting and
   return the filtered result. Progress: 1. Data normalization 2. Data
   Importer 3. url patterns 4. Django form - HTTP get/post request 5. Created
   chart view with C3.js 6. Bootstrap for error warning and numeric stepper 7.
   Manipulate data within shell
   - *Web App for Caregivers*
   (0:05:00 Minutes)
   By: Shannon Cochran
   This presentation will cover the Django project I completed with my
   mentor, Adam Bain. The idea for this project came from my former work as a
   caregiver for a child with Autism. As a caregiver, there were many times
   behavioral issues came up and I often wondered what other possible
   interventions people may have tried. The child I worked with was nonverbal
   which made discipline and finding out the source of a behavior much
   trickier. Every case of Autism is different but there are still some
   behaviors which are more common, especially as a result of the inability to
   communicate. For example, self-injurious behaviors are common and usually
   associated with the frustration of not being able to communicate needs. My
   idea is to create an app where caregivers are able to share their solutions
   to behavior problems and search for other caregiver’s solutions as well.
   The app will have a space for people to share both problem behaviors they
   want to decrease in their client or child and positive behaviors they want
   to encourage. This project allows caregivers to search for problem
   behaviors as well as positive behaviors and find out how other caregivers
   addressed the behavior and whether those interventions were successful or
   not.


On Tue, Jan 12, 2016 at 5:49 PM, Tathagata Dasgupta <tathagatadg at gmail.com>
wrote:

> 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
>>
>


-- 
Cheers,
T

Sent from my iPhone
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