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This article examines the application value, current status, and challenges of Python in corporate financial analysis and proposes targeted solutions to enhance its extensive use in financial practices. Currently, despite Python being recognized as a key tool to bolster corporate financial analysis due to its robust capabilities in data processing and analysis, its application in finance departments is limited by several core issues: a general lack of programming knowledge among finance professionals, insufficient operational training, and a lack of policy guidance for digital technology transformation. To address these issues, the paper puts forward five recommendations: 1) leverage the guiding role of governments and accounting associations; 2) continuously improve higher education programs for finance and accounting talent, integrating programming skills with traditional accounting courses; 3) strengthen university-enterprise cooperation and deepen teachers' enterprise practice; 4) develop comprehensive internal training and incentive mechanisms within companies; and 5) transition from abstract application guidelines to detailed application instructions. These strategies aim to significantly enhance the Python application skills of finance personnel, drive the digital transformation of the financial industry, and thereby generate greater value for businesses.
Yitong Xu (Mon,) studied this question.