Python在农业专项审计中的应用
The Application of Python in Agricultural Special Audit

“三农”问题是关系国计民生的根本问题，国家正在稳步推进乡村振兴战略，因此中央和地方财政对农业的资金投入都在增加。为了专项资金能够合法合规地使用，对这些专项资金使用情况的审计就尤为重要。本文使用基于Python的地理信息分析工具和可视化工具，分析评价某地的耕地情况及质量，为大数据审计提供思路，提高审计的准确性和效率，同时为审计人员查找项目疑点，挖掘审计线索提供依据，提高审计报告的直观性。
The issue of “Three Rural Issues” is a fundamental issue related to the national economy and people’s livelihood. The country is steadily promoting the rural revitalization strategy, so the central and local financial investment in agriculture is increasing. In order to ensure the legal and compliant use of special funds, it is particularly important to audit the use of these special funds. This article uses Python-based geographic information analysis tools and visualization tools to analyze and evaluate the situation and quality of cultivated land in a certain place, providing ideas for big data audit, improving the accuracy and efficiency of audit, and at the same time providing a basis for auditors to find project doubts and explore audit clues, improving the intuition of audit reports.