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Spreadsheet Modeling and Wrangling with Python

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  • Mark W. Isken

    (Decision and Information Sciences, School of Business Administration, Oakland University, Rochester, Michigan 48309)

Abstract

A staple of many spreadsheet-based management science courses is the use of Excel for activities such as model building, sensitivity analysis, goal seeking, and Monte-Carlo simulation. What might those things look like if carried out using Python? We describe a teaching module in which Python is used to do typical Excel-based modeling and data-wrangling tasks. In addition, students are exposed to basic software engineering principles, including project folder structures, version control, object-oriented programming, and other more advanced Python skills, creating deployable packages and documentation. The module is supported with Jupyter notebooks, Python scripts, course web pages that include numerous screencasts, and a few GitHub repositories. All of the supporting materials are permissively licensed and freely accessible.

Suggested Citation

  • Mark W. Isken, 2025. "Spreadsheet Modeling and Wrangling with Python," INFORMS Transactions on Education, INFORMS, vol. 25(2), pages 152-168, January.
    • Handle: RePEc:inm:orited:v:25:y:2025:i:2:p:152-168
    DOI: 10.1287/ited.2023.0047
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    Keywords

    python; spreadsheet modeling;

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