A New Programming Language for Data Science: Julia

Münevver Turanlı () and Ünal Halit Özden ()
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Münevver Turanlı: İstanbul Ticaret Üniversitesi, İnsan ve Toplum Bilimleri Fakültesi, İstatistik Bölümü, İstanbul, Türkiye.
Ünal Halit Özden: İstanbul Ticaret Üniversitesi, İnsan ve Toplum Bilimleri Fakültesi, İstatistik Bölümü, İstanbul, Türkiye.

EKOIST Journal of Econometrics and Statistics, 2023, vol. 0, issue 38, 223-241

Abstract: Users working in scientific programming and data science need a fast, flexible, and dynamic high-performance programming language with easy code writing and prototyping. Many programming languages exist that are used in the data science world. Some of these languages are very fast but difficult to learn and code, while others are very easy to write code for but have a very slow running speed. In comparison to other programming languages, the relatively new Julia is a high performance programming language that aims to overcome these problems by being both fast and easy to code. Therefore, the purpose of this article is to introduce Julia and to compare it to the other programming languages used in statistics and data science. In addition, this article also aims to help researchers, especially those interested in statistics and data science, learn about the Julia programming language and to choose the language best suited for them.

Keywords: Julia Programming Language; Programlama Languages; Python; Statistics; Data Science (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:ist:ekoist:v:0:y:2023:i:38:p:223-241

DOI: 10.26650/ekoist.2023.38.1233000

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