Python编程语言在大数据分析中的运用策略  

Application strategy of the Python programming language in big data analysis

作　　者：黄素青 Huang Suqing(Fujian Economic School,Fuzhou 350001,China)

机构地区：[1]福建经济学校,福建福州350001

出　　处：《无线互联科技》2023年第8期98-100,共3页Wireless Internet Technology

基　　金：2021年度福建省职业技术教育中心职业教育教学改革研究课题,项目名称:融合思政元素的中职专业课混合式教学研究与实践,项目编号:ZB2021073。

摘　　要：在当今信息技术的发展中,大数据分析技术发挥着显著优势。在进行大数据分析的过程中,Python编程语言的合理运用也至关重要。为实现Python编程语言的合理运用,促进大数据分析效率和质量的提升,文章基于Python编程语言在大数据分析过程中的运用策略进行分析,将Python编程语言中的Numpy库用作基础的数据分析工具,Pandas库用作专用的数据分析库,Matplotlib库用作可视化数据工具,将Scikit-learn库用于数据分析。文章的分析可为Python编程语言的应用和大数据分析技术的融合提供科学参考。In the development of modern information technology,big data analysis has brought its superiority into full play.In the process of big data analysis,the proper use of Python programming language is also crucial.In order to realize the rational application of Python programming language and promote the improvement of the efficiency and quality of big data analysis,this paper analyzes the application strategy of the Python programming language in the process of big data analysis,including the application of the Numpy library in the Python programming language as a basic data analysis tool,the Pandas library as a dedicated data analysis library,the Matplotlib library as a visual data tool,and Scikit-learn library is used for data analysis.It is hoped that this analysis can provide scientific reference for the application of Python programming language and the development of big data analysis technology.

关 键 词：大数据分析 Python编程语言 运用策略 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]