Intro to Julia: A fast dynamic language for statistical computing and data science
Speaker: Seyoon Ko, Ph.D.
IDRE Fellow and Assistant Adjunct Professor,
Mathematics Department,
University of California Los Angeles
Abstract: Julia (http://julialang.org) is a modern open-source programming language for technical computing. Its design offers much greater speed and productivity compared to R or Python, as high-performance code does not need to be wrapped in a low-level language like C or Fortran. After almost a decade of active development, Julia reached its first major release, v1.0, in 2018, and is quickly gaining popularity in scientific computing and data science communities. In this workshop, I will present the basic concepts of Julia and show a little comparison between Julia and other languages, such as R, C, and Python.