Description
Python in Excel Step-by-Step is a practical, step-by-step guide by David Langer, an analytical trainer and Microsoft Excel Professional (MVP), specifically designed for current Excel users looking to expand their data analysis skills using Python. This clever work leverages Excel users’ existing knowledge as a foundation for learning the fundamentals of Python so they can immediately activate new analytical capabilities in the Excel environment.
The main goal of this educational resource is to prepare business professionals for a future where artificial intelligence plays a central role in Excel, enabling them to implement data science on their own (DIY data science). This book ensures that readers, even without prior programming experience, will quickly and easily learn only the Python basics necessary for analyzing and working with data in Excel.
Book Features
- Providing an intuitive guide for professionals who want to prepare for the future of Microsoft Excel by learning Python in Excel.
- Targeted coverage of Python basics needed only for analysis and use in an Excel environment, for quick learning.
- Learn how to use the powerful pandas and plotnine libraries to manipulate data and create advanced visualizations in Excel.
- Providing a structured roadmap for DIY data science to increase the impact of analytics in the workplace.
- Focus on connecting familiar Excel concepts to Python concepts to facilitate the learning process and better understanding.
Book specifications
- Publisher: Wiley
- Instructor: David Langer
- Number of pages: 323
- Number of chapters: 12
- Format: PDF
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Download link
Download Wiley – Python in Excel Step-by-Step 2026
File(s) password: www.downloadly.ir
File size
13 MB