The Preeminence of Python in Data Science: A Comprehensive Analysis

Dr. Ashok Jahagirdar

Abstract: The field of data science, an interdisciplinary domain that extracts insights from data, relies heavily on a robust toolkit for data manipulation, analysis, and modeling. While numerous programming languages exist, Python has emerged as the de facto standard and preferred tool. This research paper examines the technical, ecosystem-driven, and practical reasons for Python's dominance. Through an analysis of its core characteristics, library ecosystem, community support, and versatility, it can be argued that Python?s unique combination of simplicity, power, and scalability makes it not merely a popular choice, but the optimal foundational language for modern data science workflows. The paper also addresses common criticisms and discusses the language's positioning against competitors like R and Julia.

Keywords: Python data science, Data science programming, Python machine learning, Data analysis tools, Python ecosystem, NumPy pandas scikit-learn, TensorFlow PyTorch, Python libraries ecosystem, Jupyter Notebooks, Data manipulation Python, Data visualization Python, Machine learning framework

How to Cite?: Dr. Ashok Jahagirdar, "The Preeminence of Python in Data Science: A Comprehensive Analysis", Volume 14 Issue 12, December 2025, International Journal of Science and Research (IJSR), Pages: 2026-2028, https://www.ijsr.net/getabstract.php?paperid=SR251223183721, DOI: https://dx.doi.org/10.21275/SR251223183721