摘要
互联网的不断发展和大数据、人工智能的迅速崛起使数据变得尤为重要,几乎所有行业都需要数据的支持来推动业务发展,因此如何采集海量的数据信息成为当前函待解决的问题。文章基于Python深入探讨了数据采集的过程,包括数据请求、解析、处理、存储等,并对不同技术的优缺点进行了比较,旨在为开发者的技术选择提供参考。
The continuous development of the Internet and the rapid rise of big data and artificial intelligence have made data particularly important.Almost all industries require data support to drive business development.Therefore,how to collect massive amounts of data information has become an urgent problem to be solved.This article delves into the process of data collection based on Python,including data request,parsing,processing,storage,etc.,and compares the advantages and disadvantages of different technologies,aiming to provide reference for developers in technology selection.
作者
石腾兴
张丽华
林澍
徐沈晖
SHI Tengxing;ZHANG Lihua;LIN Shu;XU Shenhui(Jiaxing Nanhu University,Jiaxing,Zhejiang 314000,China)
出处
《计算机应用文摘》
2023年第24期99-102,共4页
Chinese Journal of Computer Application
基金
嘉兴南湖学院2022年校级SRT项目(8517223183)
教育部产学合作协同育人项目(202002254017)
浙江省教育科学规划一般课题(2022SCG050)。