Python in Excel Step-by-step by David Langer

Python in Excel Step-by-step

David Langer

Wiley · Print & ebook · January 8, 2026

A discovery pick for readers interested in Python in Excel Step-by-step.

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Who it’s for
Build Python skills within Excel, from analytics fundamentals to data manipulation and visualization.
Themes
Python-based Excel analytics, Data manipulation and visualization, DIY data science
Pacing
Fast

About this book

An intuitive guide for professionals wanting to prepare for the future of Microsoft Excel by building Python in Excel skills and unleashing the power of their data. A hands-on guide to the foundational Python in Excel skills you’ll need to understand and use this powerful analytics tool, Python in Excel Step-by-Step is for current Excel users interested in expanding their data analysis skillset with Python.

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Analytics educator and Microsoft Excel MVP David Langer demonstrates how to use Python in Excel, to unlock new analytics capabilities in Excel, and build your foundation for the future of Excel: do-it-yourself (DIY) data science. The book leverages your existing Excel knowledge to learn the Python foundation you can apply right away. This is the same approach David has used to successfully teach more than 1,000 professionals Python – even if you’ve never written code before. David also includes: - Targeted coverage of the Python fundamentals required for analytics – learn just what you need fast - How to use the powerful pandas and plotnine libraries to facilitate data manipulation and visualization using Python in Excel - A DIY data science roadmap for you to build the skills you need to unleash the power of your data to have more impact at work Perfect for professionals use Microsoft Excel for data analysis, like marketing managers, financial analysts, and supply chain manager, Python in Excel Step-by-Step is an invaluable new resource for all business professionals who use Excel and want to build skills for Excel’s AI-powered future.

Python in Excel

Build Python skills within Excel, from analytics fundamentals to data manipulation and visualization.

Come here for

  • Python fundamentals for analytics
  • Using pandas and plotnine for data manipulation and visualization in Excel

Expect

  • A foundation in Python applied to Excel
  • A DIY data science roadmap

Where it sits

Data Mining79%
Python Programming55%
Spreadsheet Software55%

Percentages are BookFrontier’s reading of the book.

Publisher categories

  • Data Mining
  • Python Programming
  • Spreadsheet Software
Authors
David Langer
Publisher
Wiley
Published
January 8, 2026
Format
Print & ebook
Theme
Python-based Excel analytics · Data manipulation and visualization · DIY data science
Reading lane
Data Mining