Research Article
The Construction of Internal Tax Audit System of Private Enterprises Based on Python
@INPROCEEDINGS{10.4108/eai.6-1-2023.2330318, author={He Li}, title={The Construction of Internal Tax Audit System of Private Enterprises Based on Python}, proceedings={Proceedings of the 2nd International Conference on Big Data Economy and Digital Management, BDEDM 2023, January 6-8, 2023, Changsha, China}, publisher={EAI}, proceedings_a={BDEDM}, year={2023}, month={6}, keywords={private enterprises internal tax audit python data mining computer mining}, doi={10.4108/eai.6-1-2023.2330318} }
- He Li
Year: 2023
The Construction of Internal Tax Audit System of Private Enterprises Based on Python
BDEDM
EAI
DOI: 10.4108/eai.6-1-2023.2330318
Abstract
With the background of digital economy era, China's private enterprises have entered a critical period of transformation and upgrading. It is necessary to enhance the internal management and development of enterprises with the help of digitalization and informatization, avoid and deal with many operational risks, and promote the high-quality development of private economy. Therefore, this paper takes the internal tax audit management of private enterprises as the research object, makes full use of the functions and characteristics of network information technology, data mining technology and computer application technology, and relies on data processing class libraries such as Numpy and Pandas in Python environment to build a Web-based internal tax audit system of private enterprises. The whole system adopts B/S architecture design, and the Web Server is built by Flask framework, and the construction of various business logics and the deployment of API data interfaces are completed according to MVC pattern. The function setting of the system will comprehensively cover the whole process of internal tax audit work of private enterprises, which not only meets the needs of current enterprises and auditors, but also can give full play to the working efficiency of data algorithm models such as K-means and Apriori under data mining technology.