Python交互式学习平台在数字金融教学中的构建与应用

随着数字技术与金融的深度融合，对理论与实践兼备的复合型人才的需求日益增加。传统的金融实验或上机课程受限于时间和软件环境，难以满足学生自主学习的需求。为此，本文设计了一种基于 Python 的交互式数字金融学习平台。该平台将复杂的金融问题分解为循序渐进的学习单元，通过数据可视化、模型构建和代码编辑与执行等功能，使学生能够在真实场景中开展互动学习。以信用卡反欺诈和去中心化货币设计为案例，系统展示了在培养学生数据分析、算法应用和创新思维方面的实践经验。研究结果表明，该平台能够有效提升学生的实践能力和创新思维，为推动数字金融教育改革与创新提供了新的思路。 With the deep integration of digital technology and finance, the demand for interdisciplinary talents who possess both theoretical knowledge and practical skills is growing rapidly. Traditional financial experiments and hands-on courses are often constrained by time and software environments, making it challenging to meet students' needs for autonomous learning. Therefore, this paper introduces an interactive digital finance learning platform based on Python. The platform deconstructs complex financial problems into progressively structured learning units, enabling students to engage in interactive learning through features such as data visualization, model building, and code execution. Using two case studies—credit card fraud detection and decentralized currency design—the platform systematically illustrates how to cultivate students' data analysis, algorithm application, and innovative thinking skills. The research findings indicate that the platform significantly enhances students' practical skills and fosters innovative thinking, providing valuable insights for advancing digital finance education reform and innovation.