Discrete and Continuous Models and Applied Computational ScienceDiscrete and Continuous Models and Applied Computational ScienceDiscrete and Continuous Models and Applied Computational Science2658-46702658-7149Peoples' Friendship University of Russia named after Patrice Lumumba (RUDN University)3445910.22363/2658-4670-2023-31-1-5-26VNJCSUArticlesСтатьиResearch ArticleJulia language features for processing statistical dataВозможности языка Julia для обработки статистических данныхhttps://orcid.org/0000-0002-4834-4895GevorkyanMigran N.ГеворкянМ. Н.

Docent, Candidate of Sciences in Physics and Mathematics, Associate Professor of Department of Applied Probability and Informatics

gevorkyan-mn@rudn.ruhttps://orcid.org/0000-0001-7141-7610KorolkovaAnna V.КорольковаА. В.

Docent, Candidate of Sciences in Physics and Mathematics, Associate Professor of Department of Applied Probability and Informatics

korolkova-av@rudn.ruhttps://orcid.org/0000-0002-0877-7063KulyabovDmitry S.КулябовД. С.

Professor, Doctor of Sciences in Physics and Mathematics, Professor at the Department of Applied Probability and Informatics

kulyabov-ds@rudn.ruPeoples’ Friendship University of Russia (RUDN University)Российский университет дружбы народовJoint Institute for Nuclear ResearchОбъединённый институт ядерных исследований30032023311VOL 31, NO1 (2023)ТОМ 31, №1 (2023)52620042023Copyright ©; 2023, Gevorkyan M.N., Korolkova A.V., Kulyabov D.S.Copyright ©; 2023, Геворкян М.Н., Королькова А.В., Кулябов Д.С.2023Gevorkyan M.N., Korolkova A.V., Kulyabov D.S.Геворкян М.Н., Королькова А.В., Кулябов Д.С.https://creativecommons.org/licenses/by-nc/4.0https://journals.rudn.ru/miph/article/view/34459

The Julia programming language is a specialized language for scientific computing. It is relatively new, so most of the libraries for it are in the active development stage. In this article, the authors consider the possibilities of the language in the field of mathematical statistics. Special emphasis is placed on the technical component, in particular, the process of installing and configuring the software environment is described in detail. Since users of the Julia language are often not professional programmers, technical issues in setting up the software environment can cause difficulties that prevent them from quickly mastering the basic features of the language. The article also describes some features of Julia that distinguish it from other popular languages used for scientific computing. The third part of the article provides an overview of the two main libraries for mathematical statistics. The emphasis is again on the technical side in order to give the reader an idea of the general possibilities of the language in the field of mathematical statistics.

Язык программирования Julia является специализированным языком для научных вычислений. Язык сравнительно новый, поэтому большинство библиотек для него находится в активной стадии разработки. В статье авторы рассматривают возможности применения языка в области математической статистики. Особый акцент делается на технической составляющей, в частности подробно описывается процесс установки и настройки программного окружения. Так как пользователи языка Julia зачастую не являются профессиональными программистами, технические моменты в настройке программного окружения могут вызывать у них трудности, препятствующие быстрому освоению базовых возможностей языка. В статье описываются некоторые особенности Julia, которые отличают его от других популярных языков, используемых для научных вычислений. Также даётся обзор двух основных библиотек для математической статистики. Упор опять-таки делается на технической стороне, чтобы дать читателю представление об общих возможностях языка в области математической статистики.

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