Julia for Data Analysis: Features, Interfaces, and Future Directions

• Activity Number: 632
• Type: Invited
• Date/Time: Thursday, August 4, 2016 : 8:30 AM to 10:20 AM
• Sponsor: Section on Statistical Computing
• Author(s): Simon Byrne and Stefan Karpinski*
• Companies: Julia Computing and Julia Computing
• Keywords: Julia ; R ; Graphics ; Technical computing

Abstract

This will showcase the data analysis features of Julia, a modern high-performance, dynamic language for technical computing. We will give an overview of the various data, statistics and graphics libraries, interfaces with other languages such as R and Python, as well as outline future directions for this new and exciting language.