Processing large amounts of data in Python for the purposes of applied socio-economic research: advantages and current issues
The article is devoted to the study of the features of processing large amounts of data using the Python programming language. Unlike tabular processors or finished software products, programming languages offer the user a flexible toolkit for the implementation of tasks. At the same...
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| Format: | Article |
| Language: | English |
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Publishing House of the State University of Management
2024-08-01
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| Series: | Вестник университета |
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| Online Access: | https://vestnik.guu.ru/jour/article/view/5407 |
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| author | E. S. Konishchev |
| author_facet | E. S. Konishchev |
| author_sort | E. S. Konishchev |
| collection | DOAJ |
| description | The article is devoted to the study of the features of processing large amounts of data using the Python programming language. Unlike tabular processors or finished software products, programming languages offer the user a flexible toolkit for the implementation of tasks. At the same time, this creates certain risks associated with the effectiveness of using appropriate tools and optimising the operation of the programme. The purpose of the article is to study the features of processing large amounts of data in Python on the examples of immediate research tasks. The relevance of the topic and purpose of the article is due to the existing scientific gap related to a comprehensive consideration of the technical aspects of the use of programming languages and associated tools for socio-economic research. Thus, many authors who use programming languages in their works rarely provide information regarding the advantages of certain algorithms or approaches. Within the framework of the article, the author examines the procedures and algorithm of processing a large array of data on the example of specific research tasks. The conclusions are drawn about the features and advantages of Python when working with large amounts of data as well as about the prospects for the development of the relevant scientific topics. |
| format | Article |
| id | doaj-art-f0854f6f700e454d9232e527277f8496 |
| institution | Kabale University |
| issn | 1816-4277 2686-8415 |
| language | English |
| publishDate | 2024-08-01 |
| publisher | Publishing House of the State University of Management |
| record_format | Article |
| series | Вестник университета |
| spelling | doaj-art-f0854f6f700e454d9232e527277f84962025-02-04T08:28:21ZengPublishing House of the State University of ManagementВестник университета1816-42772686-84152024-08-0107445310.26425/1816-4277-2024-7-44-533150Processing large amounts of data in Python for the purposes of applied socio-economic research: advantages and current issuesE. S. Konishchev0Financial University under the Government of the Russian FederationThe article is devoted to the study of the features of processing large amounts of data using the Python programming language. Unlike tabular processors or finished software products, programming languages offer the user a flexible toolkit for the implementation of tasks. At the same time, this creates certain risks associated with the effectiveness of using appropriate tools and optimising the operation of the programme. The purpose of the article is to study the features of processing large amounts of data in Python on the examples of immediate research tasks. The relevance of the topic and purpose of the article is due to the existing scientific gap related to a comprehensive consideration of the technical aspects of the use of programming languages and associated tools for socio-economic research. Thus, many authors who use programming languages in their works rarely provide information regarding the advantages of certain algorithms or approaches. Within the framework of the article, the author examines the procedures and algorithm of processing a large array of data on the example of specific research tasks. The conclusions are drawn about the features and advantages of Python when working with large amounts of data as well as about the prospects for the development of the relevant scientific topics.https://vestnik.guu.ru/jour/article/view/5407programming languagepythondata analysisdata processinglarge data setsprocessing algorithmapplied researchsocio-economic researchtechnical aspectsscientific work |
| spellingShingle | E. S. Konishchev Processing large amounts of data in Python for the purposes of applied socio-economic research: advantages and current issues Вестник университета programming language python data analysis data processing large data sets processing algorithm applied research socio-economic research technical aspects scientific work |
| title | Processing large amounts of data in Python for the purposes of applied socio-economic research: advantages and current issues |
| title_full | Processing large amounts of data in Python for the purposes of applied socio-economic research: advantages and current issues |
| title_fullStr | Processing large amounts of data in Python for the purposes of applied socio-economic research: advantages and current issues |
| title_full_unstemmed | Processing large amounts of data in Python for the purposes of applied socio-economic research: advantages and current issues |
| title_short | Processing large amounts of data in Python for the purposes of applied socio-economic research: advantages and current issues |
| title_sort | processing large amounts of data in python for the purposes of applied socio economic research advantages and current issues |
| topic | programming language python data analysis data processing large data sets processing algorithm applied research socio-economic research technical aspects scientific work |
| url | https://vestnik.guu.ru/jour/article/view/5407 |
| work_keys_str_mv | AT eskonishchev processinglargeamountsofdatainpythonforthepurposesofappliedsocioeconomicresearchadvantagesandcurrentissues |