Article Info

Published 07 Jul 2025

Volume / Issue 1 / Issue 3

Pages 5–18

DOI

10.64823/ijter.2503002

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Open Access Research Article

14 pages PDF

Role of Python programming language in data science and big data processing

by , , , ,

International Journal of Technology and Emerging Research 2025 , 1 (3) , 5–18

10.64823/ijter.2503002

Published: 07 Jul 2025

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APA

Dr. Kailas Tehare, Vikas Mogadpalli, Nikhil Raj Gupta, Snehal Takalkar, & Mamta Patil (2025). Role of Python programming language in data science and big data processing . International Journal of Technology and Emerging Research, 1(3): 5–18. https://doi.org/10.64823/ijter.2503002

MLA

Dr. Kailas Tehare, et al. "Role of Python programming language in data science and big data processing ." International Journal of Technology and Emerging Research, vol. 1, no. 3, 2025, pp. 5–18. https://doi.org/10.64823/ijter.2503002

Chicago

Dr. Kailas Tehare, Vikas Mogadpalli, Nikhil Raj Gupta, Snehal Takalkar, Mamta Patil. "Role of Python programming language in data science and big data processing ." International Journal of Technology and Emerging Research 1, no. 3 (2025): 5–18. https://doi.org/10.64823/ijter.2503002

BibTeX

@article{Dr. Kailas Tehare2025role, author = {Dr. Kailas Tehare and Vikas Mogadpalli and Nikhil Raj Gupta and Snehal Takalkar and Mamta Patil}, title = {Role of Python programming language in data science and big data processing }, journal = {International Journal of Technology and Emerging Research}, year = {2025}, volume = {1}, number = {3}, pages = {5–18}, doi = {10.64823/ijter.2503002}, }

Abstract

Python has emerged as one of the most popular and versatile programming languages inthe field of data science and big data. Here we try explores role of Python programming language indata is analysis, manipulated, and visualized. We highlighted its relevance in the growing age of bigdata, focusing on key libraries, frameworks, and tools due to this Python widely popular used by datascientists and analysts. Moreover, in present article we investigate Python language with big datatools such Hadoop and Spark with its capacity to process large-scale datasets. In present study wealso focus on advantages of Python programming language and challenges in the perspective of bigdata analytics.

Keywords: machine learning, data science, big data, Python, Apache Spark, PySpark.

© 2025 The Author(s). Published by IORO Publications. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, distribution, and reproduction in any medium, provided the original author and source are credited, a link to the license is provided, and any changes are indicated.