THE SELECTION SORT METHOD FOR ARRAY SORTING IN PYTHON PROGRAMMING

Authors

  • Fathiddinov Saidma‘ruf Lazizxo‘ja o‘g‘li Department of General Technical Sciences, Asia International University

DOI:

https://doi.org/10.55640/

Keywords:

Python, selection sort, sorting algorithms, arrays, lists, data structures, programming.

Abstract

This article provides an overview of the selection sort algorithm for sorting arrays in Python programming. Sorting algorithms are essential tools in computer science and play a significant role in data processing and organization. Selection sort is a simple comparison-based sorting method that works by repeatedly selecting the smallest element from an unsorted portion of the list and placing it at the correct position. Although it is not the most efficient algorithm for large datasets, selection sort is widely used for educational purposes because of its simple logic and easy implementation. The study highlights the importance of understanding basic sorting algorithms in order to develop algorithmic thinking and programming skills in Python.

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References

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Published

2026-03-22

Issue

Vol. 5 No. 03 (2026): Journal of Multidisciplinary Sciences and Innovations

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors retain the copyright of their manuscripts, and all Open Access articles are disseminated under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which licenses unrestricted use, distribution, and reproduction in any medium, provided that the original work is appropriately cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.

How to Cite

THE SELECTION SORT METHOD FOR ARRAY SORTING IN PYTHON PROGRAMMING. (2026). Journal of Multidisciplinary Sciences and Innovations, 5(03), 1681-1682. https://doi.org/10.55640/

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