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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM38298
Volume:
8 |
10 |
Oct 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This research provides a comprehensive comparison & analysis between Java and Python, focusing on their application in data science. Key aspects such as encapsulation, AI capabilities, software complexity metrics (Halstead), data statistics, and algorithmic performance (Bubble Sort) are analyzed. This study aims to guide developers in choosing the appropriate language for their data science projects by evaluating performance, memory management, multithreading, and ecosystem richness. The findings are supported by empirical data, benchmarks, and detailed analysis, emphasizing when and how each language excels.
KEYWORDS
Publication Date
10/30/2024
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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