成为VIP摘 要
黑龙江旅游景点数据分析系统旨在通过收集和分析游客数据，优化旅游资源管理和提升游客体验。系统综合运用地理信息系统（GIS）、大数据分析、云计算等技术，系统内容主要有用户、周边住宿、周边美食、美食分类、黑龙江景点、系统管理、个人资料等。
本论文将总体分析黑龙江旅游景点数据分析系统需求，再从不同角度分析具体功能需求，运用python相关技术，采用MySQL数据库，讨论如何设计并实现一个黑龙江旅游景点数据分析系统。分析和设计主要从管理员和用户个角色上展开研究，介绍了各个功能模块的实现，并通过系统测试对黑龙江旅游景点数据分析系统进行调试，将各个功能的测试结果与期望设计进行逐一比对，找出BUG和欠缺之处，从而进一步优化改进系统。
本套基于python黑龙江旅游景点数据分析系统的设计与实现，希望能让用户通过互联网得到方便而快捷的系统管理体验，在此基础的同时提高工作效益。
关键词：python；旅游景点；MySQL；
Abstract
The Heilongjiang Tourist Attractions Data Analysis System aims to optimize tourism resource management and enhance tourist experience by collecting and analyzing tourist data. The system integrated use of geographic information system (GIS), big data analysis, cloud computing and other technologies, the system content mainly includes users, surrounding accommodation, surrounding food, food classification, scenic spots in Heilongjiang, system management, personal information, etc.
In this paper, the overall analysis of Heilongjiang tourist attractions data analysis system requirements, and then from different angles to analyze the specific functional requirements, the use of python related technology, the use of MySQL database, discuss how to design and implement a Heilongjiang tourist attractions data analysis system. The analysis and design mainly studied from the roles of administrators and users, introduced the implementation of each functional module, and debugged the data analysis system of Heilongjiang tourist attractions through system testing, compared the test results of each function with the expected design one by one, found out bugs and shortcomings, and further optimized and improved the system.
This set of python based Heilongjiang tourist attractions data analysis system design and implementation, hoping to allow users to get convenient and fast system management experience through the Internet, while improving work efficiency.
Key words: python; Tourist attractions; MySQL;
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