Speaker: Seyoon Ko, Ph.D.
IDRE Fellow and Assistant Adjunct Professor,
Mathematics Department,
University of California Los Angeles

Abstract: Julia ([ Ссылка ]) 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.

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