ChiPy October 2017 Main Meeting

Name: ChiPy October 2017 Main Meeting
Start: 2017-10-12T18:00:00-05:00
End: 2017-10-12T21:00:00-05:00
Location: University Center

Hosted By

Joe J.

Details

The October main meeting is fast approaching. Clarity is hosting us this month for what is sure to be a great meeting. Hope to see you there!
Schedule:
6:00pm: Doors open; food arrives
7:00pm: Talks Start promptly at 7

What:

Full Stack Python for AI: How open source Python enables each phase of the AI workflow
By: Tripp Smith
Experience Level: Intermediate
Investments in AI are heating up, with the total market estimated as high as $126B by 2025. This talk will present case studies and code samples of how our clients are using Python today and how we expect this to evolve over the next few years as AI becomes increasingly ubiquitous. Python enables each phase of the AI pipeline: DevOps, Data Engineering, Model Development, Deep Learning, Cognitive User Interfaces, and Microservices. This talk will highlight how Python is a common glue across multiple disciplines that will allow cross functional teams work together to get real results from AI.

PyWeek 24 and pygames
By: Michael Tamillow
Experience Level: Intermediate
Pyweek 24 is coming up October 15th through October 22nd! For pyweek 23, I created a game called the evolution of evil, which is available on my github repository. I will (very quickly) walk through the steps of how I created the game, and what it is.

Data Science Workflows using Docker Containers
By: Aly Sivji
Experience Level: Intermediate
Containerization technologies such as Docker enable software to run across various computing environments. Data Science requires auditable workflows where we can easily share and reproduce results. Docker is a useful tool that we can use to package libraries, code, and data into a single image. This talk will cover the basics of Docker; discuss how containers fit into Data Science workflows; and provide a quick-start guide that can be used as a template to create a shareable Docker image! Learn how to leverage the power of Docker without having to worry about the underlying details of the technology. Although this session is geared towards data scientists, the underlying concepts have many use cases (come find me after to discuss).