finelybook
Python in Excel Step-by-Step
Author(s): David Langer (Author)
- Publisher finelybook 出版社: Wiley
- Publication Date 出版日期: January 8, 2026
- Edition 版本: 1st
- Language 语言: English
- Print length 页数: 272 pages
- ISBN-10: 1394340761
- ISBN-13: 9781394340767
Book Description
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. Analytics educator and Microsoft Excel MVP David Langer demonstrates how to use Python in Excel, tounlock 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.
From the Back Cover
An intuitive guide to unlocking the potential of your data with Python in Excel
In this hands-on guide to Python in Excel, analytics educator and Microsoft Excel MVP David Langer explains how to expand your Excel data analysis skillset using Python. He demonstrates the additional analytics capabilities unlocked by Python and provides a DIY data science roadmap to unleash the power of your data for the AI-powered future of Excel.
Python in Excel Step-by-Step leverages your existing Excel knowledge to supercharge the Python skills you can apply in Excel. Langer walks you through the skills you’ll need to manipulate, analyze, and visualize your data. You’ll discover specific techniques, including how to use the powerful pandas and plotnine libraries inside Excel. You’ll also find targeted coverage of the most essential Python fundamentals you need for analytics so that you can get up to speed in a hurry. The book skips unnecessary background and theory, focusing on practical techniques that facilitate the application of valuable analytics tools.
Perfect for professionals who use Microsoft Excel for data analysis, like marketing managers, financial analysts, and supply chain managers, Python in Excel Step-by-Step is an invaluable resource for every business professional who wants to:
- Understand why Microsoft is positioning Python as the future of Excel
- Automate data cleaning and analysis techniques for reproducibility
- Visually analyze data not possible in out-of-the-box Excel
- Partner with the Copilot in Excel AI
- Future-proof their data skills
About the Author
DAVID LANGER is an Excel trainer, Microsoft Excel MVP, analytics consultant, and LinkedIn Top Voice who has taught thousands of professionals how to apply cutting-edge data science skills. He regularly teaches hands-on data science courses for his clients and at national conferences in the United States. He also hosts a successful YouTube channel called DaveOnData.
