scholarly journals Employment Data Analysis based on Python Crawler Technology

2021 ◽  
Vol 14 ◽  
pp. 163-167
Author(s):  
Li Li

With the explosive growth of network information and the advent of the era of big data, it is of great significance to analyze and process employment data by using web crawler technology. This article takes Lagou.com as an example, uses crawler technology to collect data on the basis of Python and MySQL, and analyzes the collected employment data in various aspects, and uses these data analysis results to help college students in their employment and career planning. Provide reference basis, provide objective reference.

2021 ◽  
Vol 5 (6) ◽  
pp. p1
Author(s):  
Siqi Zhang

The continuous development of network information technology has prompted people to use big data to process information in order to improve work efficiency. All kinds of data are affecting people’s lives. Under the background of the big data era, college students’ values, studies and lifestyles, and access to information have changed obviously. Therefore, colleges and universities should make full use of the convenience of information in the era of big data to improve the informatization of ideological and political work in colleges and universities. The ideological consciousness and values of contemporary college students are strongly impacted by big piece of data. Based on the characteristics of big data, this paper conducts research and analysis on ideological and political education in colleges and universities in the era of big data, and makes full use of network resources to improve the ability of ideological and political education.


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