
Python in Excel Step-by-step
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
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Start with this bookAbout 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.
Continue reading
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 Mining | 79% |
|---|---|
| Python Programming | 55% |
| Spreadsheet Software | 55% |
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