ChiPy __Main__ Meeting

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 Literaseek 2.0
 
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 Rating the difficulty of piano sheet music
 
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 Vote    
8:32 Winners/Prizes    

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

Where: Braintree

Attendance:

Topics

  • Fall Mentorship Presentations
    By:
    Length: 180 Minutes
    Description:

    Ten mentees will present the projects that they have been working on with their mentoors for the past 3 months.