Contributed targeted documentation to the pandas-dev/pandas repository, focusing on the integration and usage of the pd-money module within the Pandas ecosystem. The work clarified how pd-money supports financial data cleaning and analysis, outlining its role in streamlining finance-oriented workflows. Using Markdown and leveraging skills in data analysis and financial modeling, the documentation was brought in line with existing Pandas standards to ensure consistency and ease of use. This addition aimed to improve discoverability for finance-focused users and reduce onboarding time, enabling users to more efficiently incorporate pd-money into their data processing pipelines within Pandas projects.