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Python for Excel Users: Know Excel? You Can Learn Python by Tracy Stephens at Abbey's Bookshop,
Python for Excel Users: Know Excel? You Can Learn Python
— —
Tracy Stephens

Python for Excel Users

Know Excel? You Can Learn Python

Tracy Stephens

$105

Paperback

Not in-store but you can order this
How long will it take?
English
No Starch Press,US
28 October 2025
Spreadsheet software; Programming & scripting languages: general; Data capture & analysis
When Excel isn't enough, it's time to learn Python.

When Excel isn't enough, it's time to learn Python.

If you're comfortable in Excel, but you've hit a wall-slow files, broken formulas, hours spent on repetitive tasks-this book offers a way forward. It shows you how to take the work you already do in spreadsheets and make it faster, smarter, and more powerful with Python.

You'll start by setting up your environment and getting comfortable with Python through short, Excel-inspired exercises. From there, you'll gradually move into writing scripts that automate manual work, structure your data, and generate consistent results-no prior programming knowledge required.

You'll use your preexisting Excel skills to learn how to-

Translate spreadsheet logic into Python code Use pandas to clean, reshape, and filter data Automate reports you'd normally build by hand Read and write Excel files directly from Python Connect to databases and APIs Create professional visualizations with Plotly and Dash Organize code into sharable modules and write simple tests

Throughout the book, you'll find practical examples that show why and how to move your work out of spreadsheets and into scripts, and how to resolve issues along the way.

Author Tracy Stephens has extensive practical experience with both Excel and Python. Her approach is grounded in real workflows, and she introduces each concept through tasks you've likely handled in Excel.

This book won't ask you to replace everything you do in spreadsheets, but it will help you use Python to work faster, more reliably, and with greater flexibility than you ever could with Excel.
By:  
Imprint:   No Starch Press,US
Country of Publication:   United States
Dimensions:   Height: 234mm,  Width: 177mm, 
Weight:   369g
ISBN:   9781718503984
ISBN 10:   1718503989
Pages:   200
Publication Date:  
Audience:   General/trade ,  ELT Advanced
Format:   Paperback
Publisher's Status:   Active
Chapter 1: When Is Excel Not Enough? Chapter 2: Setting Up Your Python Environment Chapter 3: Python Concepts and Their Excel Equivalents Chapter 4: Writing Python Scripts Chapter 5: Version Control with Git Chapter 6: Coding Interactively with Jupyter Notebooks Chapter 7: Data Analysis with Pandas Chapter 8: SQL for the Non-Engineer Chapter 9: Working with APIs Chapter 10: Programmatic Charting with Plotly Chapter 11: Interactive Reports with Dash Chapter 12: Practical Object-Oriented Programming Chapter 13: Debugging and Testing Your Code Chapter 14: Three Habits to Write Good Code

Tracy Stephens is a quantitative developer based in New York City. Her experience includes building systematic trading strategies at some of the world's top financial institutions. A long-time Python evangelist, she focuses on designing quantitative infrastructure that's flexible, explainable, and efficient---when she can successfully keep her one-eyed tuxedo cat off her keyboard.

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