I've put together a new Python script for processing Excel data using the pandas library. This tool is designed to provide a straightforward example of how to automate common data tasks that might otherwise be handled with VBA macros.
The script works by reading an Excel workbook, regardless of its structure. It then demonstrates how to add a new computed column to the data. For instance, you could calculate a total from two existing columns or apply a specific business logic to generate new values. Once the computation is complete, the script writes the modified data, including the new column, back into an Excel file.
This is intended for developers and data professionals who are looking for a ready-to-run example of using Python and pandas for Excel data manipulation. It aims to be a practical starting point for integrating more robust data processing workflows into projects that involve Excel files.
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