Join us for the Fall 2019 Chicago Python Mentorship Program Finals! Mentees from the ChiPy Mentorship program will be showcasing their projects to the community in 5-minute lightning talks.

 
Agenda: 
 
Time Title Speaker Description
6:30 Announcements    
6:40 Mentorship Program Intro    
6:50 OctoPi: What could you do with a Raspberry Pi cluster? Paul Zuradzki Raspberry Pi is a low-cost computer that's useful for learning, testing, and development. Gaining experience with distributed computing can also be expensive or limiting in a corporate environment. In this talk, we'll see how you can connect multiple Raspberry Pis to: Hadoop at home with Spark and MapReduce, make and serve a website, run Airflow with Celery, play Minecraft with Python, and avoid running up an AWS credit card bill. In the process, you will learn about Linux, Python programming, distributed computing, web development, and more.
6:58  
 
Maria Patni
 
7:06 Understanding and forecasting freight movements with dynamic data visualizations Shahnawaz Khokkhar Freight movement in the US is a multi-trillion dollar industry with many moving parts and changing regulations. The logistics has extensively studied models that predict freight capacity and forecast supply and demand. We will look at some visualizations from data from the Federal Highway Administration.
7:14 Wireless Monitoring for Prevention of Bedsores
 
Rob Seaberg
This project consisted of building a Django web app to interact with and handle data generated by an IoT device in order to improve health outcomes for individuals with mobility limitations. The device is an early warning monitoring system designed to prevent bedsores by sensing the length of time a user is stationary and sending an alarm to the caregiver when it is time to be repositioned.
7:22  
 
Amanda Abraham
 
7:30 Intermission    
7:45 How can I make this smaller? Daniel Martz  I started out trying to make a website to help beginners play Smite better. I thought I'd learn some stuff about Django and probably some data science, and I did. The most important thing I learned wasn't even specific to Python, though, it was how to reduce scope to an achievable objective.
7:53 Predicting NFL Running Backs' Salaries
 
Ian Greengross
How NOT to predict the salaries of NFL running backs with only 100 samples by using: multi linear regression, PCA, RFE, KNN and trees.
8:01  
 
Edris Qarghah
 
8:09  Finding Missing Pets with a Geolocation App
 
Sophan Mien
This project uses programming to tackle a practical problem -- finding missing pets. My app is a geolocation based app that tracks the user in real time as they look for missing pets on the street. It shows the user's path and other people's paths in the search party on the same map so that the user can decide where to look next.
8:17   Arushi Rai  
8:25 Vote    
8:40 Winners/Prizes    

When: Dec. 12, 2019, 6 p.m.

Where: Braintree

Directions:

Go to the elevators in the middle of the building between the two security desks, and take them to the 8th floor. If building security asks you where you're going just tell them Braintree. The elevators will let you off right in the Braintree lobby.

Merchandise Mart 222 W Merchandise Mart Plaza 8th Floor Chicago, IL 60654
Go to the elevators in the middle of the building between the two security desks, and take them to the 8th floor. If building security asks you where you're going just tell them Braintree. The elevators will let you off right in the Braintree lobby.

RSVP (without login):

Registration for this event will close on Thursday December 12 at 12:00 p.m.

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