IDEAS home Printed from https://ideas.repec.org/a/ist/ekoist/v0y2023i38p223-241.html
   My bibliography  Save this article

A New Programming Language for Data Science: Julia

Author

Listed:
  • Münevver Turanlı

    (İstanbul Ticaret Üniversitesi, İnsan ve Toplum Bilimleri Fakültesi, İstatistik Bölümü, İstanbul, Türkiye.)

  • Ãœnal Halit Özden

    (İstanbul Ticaret Üniversitesi, İnsan ve Toplum Bilimleri Fakültesi, İstatistik Bölümü, İstanbul, Türkiye.)

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.

Suggested Citation

  • Münevver Turanlı & Ãœnal Halit Özden, 2023. "A New Programming Language for Data Science: Julia," EKOIST Journal of Econometrics and Statistics, Istanbul University, Faculty of Economics, vol. 0(38), pages 223-241, June.
    • Handle: RePEc:ist:ekoist:v:0:y:2023:i:38:p:223-241
    DOI: 10.26650/ekoist.2023.38.1233000
    as

    Download full text from publisher

    File URL: https://cdn.istanbul.edu.tr/file/JTA6CLJ8T5/1C852A728BAF4DCCA2630D45583F2D4C
    Download Restriction: no
    File URL: https://iupress.istanbul.edu.tr/tr/journal/ekoist/article/veri-bilimi-icin-yeni-bir-programlama-dili-julia
    Download Restriction: no
    File URL: https://libkey.io/10.26650/ekoist.2023.38.1233000?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Jeffrey M. Perkel, 2019. "Julia: come for the syntax, stay for the speed," Nature, Nature, vol. 572(7767), pages 141-142, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Silva, C.A. & Vilaça, R. & Pereira, A. & Bessa, R.J., 2024. "A review on the decarbonization of high-performance computing centers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    2. Kimberly R. Hall & Ranjan Anantharaman & Vincent A. Landau & Melissa Clark & Brett G. Dickson & Aaron Jones & Jim Platt & Alan Edelman & Viral B. Shah, 2021. "Circuitscape in Julia: Empowering Dynamic Approaches to Connectivity Assessment," Land, MDPI, vol. 10(3), pages 1-24, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ist:ekoist:v:0:y:2023:i:38:p:223-241. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ertugrul YASAR (email available below). General contact details of provider: https://edirc.repec.org/data/ifisttr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.