The Application of Python in Financial Big Data Management and Teaching

With the rapid growth of data in the financial industry, financial big data management is facing unprecedented challenges.This paper takes the Python programming language as a starting point and explores its application advantages in financial big data management from multiple dimensions, including data acquisition, preprocessing, storage, analysis, and visualization.At the same time, through teaching cases and practical experiments, the paper illustrates how to build an efficient teaching system with Python, thereby achieving an organic integration of theory and practice.Through a literature review, case analysis, and practical exploration, this paper summarizes the current status, advantages, and limitations of Python in financial big data management and teaching, and proposes directions for future improvement and research.