Friday, November 12th at 10am PDT/ 11am MDT/ 12pm CDT/ 1pm EDT

Julia is a high-level dynamic programming language that is gaining popularity. The Julia language is designed for scientific computing and offers several attractive features for data science applications. In this webinar, we will make a case for why a data scientist might consider taking a serious look at Julia. We will show code examples and point the audience to further resources.

Goals of this webinar:

• To articulate why Julia is attractive for data scientists
• To provide an overview of Julia language syntax and design
• To provide additional resources about the Julia language and ecosystem

Presented by:
Gregory Farage, PhD
Post-Doctoral Fellow
Department of Preventive Medicine
University of Tennessee Health Science Center

Dr. Saunak Sen
Professor and Chief of Biostatistics
Department of Preventative Medicine
University of Tennessee Health Science Center

Webinar flyer (pdf)

This webinar series is sponsored by the NIDA Center of Excellence in Omics, Systems Genetics, and the Addictome (P30 DA044223).