Julia language features for processing statistical data

Discrete and Continuous Models and Applied Computational Science Pub Date : 2023-03-30 DOI:10.22363/2658-4670-2023-31-1-5-26

M. Gevorkyan, A. Korolkova, D. Kulyabov

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Abstract

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.

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Julia语言特性用于处理统计数据

Julia程序设计语言是一种用于科学计算的专门语言。它相对较新，因此它的大多数库都处于活跃的开发阶段。在这篇文章中，作者考虑了语言在数理统计领域的可能性。特别强调了技术组件，特别详细描述了软件环境的安装和配置过程。由于Julia语言的用户通常不是专业的程序员，因此设置软件环境时的技术问题可能会造成困难，使他们无法快速掌握该语言的基本功能。文章还描述了Julia的一些特征，这些特征将其与其他用于科学计算的流行语言区分开来。文章的第三部分概述了数理统计的两个主要库。重点再次放在技术方面，目的是让读者了解该语言在数理统计领域的一般可能性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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