基于Python数据爬取在高职高专院校中的教学实践研究  

Research on Teaching Practice of Data Crawling Based on Python in Higher Vocational Colleges

作　　者：戴琦乐 郑琪 毛君毅 DAI Qi-le;ZHENG Qi;MAO Jun-yi(Zhejiang Dongfang Polytechnic,Wenzhou Zhejiang 325000,China)

机构地区：[1]浙江东方职业技术学院,浙江温州325000

出　　处：《湖北开放职业学院学报》2022年第8期169-170,共2页Journal of Hubei Open Vocational College

基　　金：浙江省教育厅一般科研项目“大数据分析下智能垃圾分类研究与应用”(项目编号:Y202044707)。

摘　　要：本文对数据爬取的技术特点、架构与主要流程进行分析,并阐述Python数据爬取在高职院校教学中的应用。将数据爬取与项目教学相结合,通过明确爬取目标、创建挖掘环境、爬取课程开展等方式,降低学习难度,将数据爬取内容转变为较为简单的内容,更易于学生理解和记忆。This paper analyzes the technical characteristics,architecture and main process of data climbing,and expounds the application of Python data climbing in higher vocational colleges.Combined the data climbing with the project teaching,and by means of clarifying the climbing objectives,creating the mining environment and developing the climbing courses,it is suggested to reduce the learning difficulty and transform the data climbing content into a relatively simple content,which is easier for students to understand and remember.

关 键 词：Python数据爬取 高职高专 教学实践 

分 类 号：G642[文化科学—高等教育学]