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Journals / EKOIST Journal of Econometrics and Statistics / 2023 / Sayı: 38

A New Programming Language for Data Science: Julia

Veri Bilimi İçin Yeni Bir Programlama Dili: Julia

Ünal Halit ÖZDEN
Münevver TURANLI
Pages
223–241
Publication Date
2023-07-28
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

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.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Users working in scientific programming and data science need a fast, flexible, and dynamic high-performance programming language with easy code writing and prototyping.
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Key Findings & Data: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.
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Conclusion & Impact: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.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Julia Programlama Dili · Programlama Dilleri · Python

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.

Özet

Bilimsel programlama ve veri bilimi ile ilgili olarak kullanıcılar; yüksek performanslı, hızlı, kod yazım ve protipleme kolaylığına sahip, esnek ve dinamik programlama diline ihtiyaç duymaktadır. Veri bilimi dünyasında kullanılan, bir çok programlama dili vardır. Bu dillerden bazıları çok hızlı ama öğrenmesi ve kod yazması zordur. Bazılarında ise kod yazmak çok kolaydır, ancak yazılan kodların çalışma hızları çok yavaştır. Diğer dillerle karşılaştırıldığında, nispeten daha yeni bir dil olan Julia programlama dili, hem yüksek performanslı, hem hızlı, hem de kod yazması kolay olduğu için bu sorunları aşmayı amaçlayan programlama dillerinden biridir. Bu makalenin amacı da, diğer programlama dillerine nazaran daha yeni olan Julia’yı tanıtmak, istatistik ve veri biliminde kullanılan diğer diller ile karşılaştırmak ve araştırmacıların ve özellikle istatistik ve veri bilimi konuları ile ilgilenen kişilerin, Julia dili ile ilgili bilgi edinmesini sağlayıp, kendileri için en uygun dili seçmelerine yardımcı olmaktır.

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Cite This Article

ÖZDEN, Ü. H., TURANLI, M. (2023). A New Programming Language for Data Science: Julia. EKOIST Journal of Econometrics and Statistics, Sayı: 38, 223–241. https://ajindex.com/articles/957308

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References (2)

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