Course Reform and Practice of "Python Programming" for Artificial Intelligence and Big Data Applications

Abstract

With the rapid development of artificial intelligence (AI) and big data technologies, Python has become a widely used programming language in related fields. However, the traditional "Python Programming" course has been unable to meet the demands of applications in AI and big data in terms of content and teaching models. Therefore, this paper presents a comprehensive reform of the "Python Programming" course, optimizing course content by incorporating modules on big data processing and artificial intelligence. Additionally, a project-driven teaching model and a diversified evaluation system have been implemented. By introducing innovative teaching tools and resources, students' practical abilities and innovative thinking have been enhanced. The practical outcomes of the course reform are significant, with students showing notable improvements in their programming skills in AI and big data. In the future, this study will continue to optimize course content to address the ever-changing technological demands.