Python in Excel Step-by-Step

In Python in Excel Step-by-Step, 1st Edition, author David Langer presents a practical guide to executing Python code directly within Microsoft Excel. The text teaches targeted Python fundamentals necessary for analytics. Readers learn how core programming concepts integrate into standard spreadsheet tasks to streamline quantitative workflows.

The book details how to implement the pandas library for data manipulation inside Excel workbooks. It further details visualization methods using the plotnine library, enabling users to create graphical summaries of structured datasets without leaving the spreadsheet interface.

This publication is designed for business professionals and current Excel users who want to enhance their analytical capabilities. Specialized roles, such as marketing managers, financial analysts, and supply chain managers, can draw on these chapters to apply Python tools directly to their operational reporting.