Python-based for Big Data Analytics in Tourism

Currently, though the existing research has solved some of the tourism data analysis‘ problems based on some versions of Python and functions of the library, but subject to the development of technology, the research on python-based for big data analytics in Tourism has got massive need. Based on python 3.11 and pycharm 2023, this study obtained real tourism data by crawler collection method, parsed the crawled data by BeautifulSoup, Xpath and other data parsing methods, stored the data by csv, xlsx and other data storage methods, cleaned the data by pandas, analysed the data by Tf-Idf algorithm and K-means clustering algorithm, and visualised the data analysis results by matplotlib and wordcloud.