An Overview of Python Libraries for Data Science

Ankush Joshi, Haripriya Tiwari
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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.
数据科学Python库概述
在这个时代,Python是数据科学中最受欢迎和最受欢迎的语言,因为它有大量的库可用于数据处理、分析和数据可视化。这篇综述的目的是给出不同可用库的概述。为此,我们将48个不同的图书馆分为3个不同的类别:数据收集、数据分析和;处理和数据可视化。为了比较,我们使用GitHub社区基础(Stars, Forks和commits)以及它们的属性和功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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