Data Science Workflows Using Docker Containers

Abstract:
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.

Bio:
Aly Sivji is a Mathematician / Software Engineer at a healthcare startup in Chicago and a part-time grad student at Northwestern University studying Medical Informatics. He is passionate about Python, cycling, and improving healthcare delivery models using information technology.

Schedule:
6:00 p.m - 6:30 p.m is time for social. Seminar will start at 6:30 p.m.
Please note the office security needs to check your ID for entry. Thanks for your understanding.

Our Sponsor: Arity ( https://www.arity.com/ )