Abstract
In this era Python is the most popular as well as in -demand language for Data Science due to the number of libraries available for data processing, analysis and data visualization. The aim of this review paper is to give the overview of different available libraries. For this we grouped 48 different libraries in 3 different categories which are Data Collection, Data Analysis & Processing and Data Visualization. For comparison we use the GitHub community base (Stars, Forks and commits) as well as their properties and functionalities.
Cite
CITATION STYLE
Joshi, A., & Tiwari, H. (2023). An Overview of Python Libraries for Data Science. Journal of Engineering Technology and Applied Physics, 5(2), 85–90. https://doi.org/10.33093/jetap.2023.5.2.10
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