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Python for Excel Power Users

Essential Coding Concepts to Increase Your Productivity

By Tracy Stephens

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Use coupon code PREORDER to get 25% off!

Excel is a mainstay of the modern workplace, but it isn’t always the best tool for the job.

Description

Excel is a mainstay of the modern workplace, but it isn’t always the best tool for the job. Python for Excel Power Users offers a better way, showing how Python and other coding tools can boost your productivity by streamlining your workflow. Even if you’re inexperienced at programming, you are not starting from scratch—this book leverages what you already know in Excel to introduce you to useful Python concepts that will have you up and coding in no time. Beyond Python, you’ll learn skills such as:

  • Managing and querying database data using SQL
  • Obtaining data from external sources through API calls
  • Analyzing data with Pandas and visualizing that data with Plotly
  • Creating attractive dashboards and reports with Dash
  • Collaborating with others and tracking how projects evolve using Git

Practical examples illustrate how your new coding skills can be immediately applied to your day-to-day work. You’ll be amazed at how much more you can do once you escape the confines of the spreadsheet and replace Excel in your workflow.

DETAILS

September 2025, 200 pp.
ISBN-13: 9781718503984

TABLE OF CONTENTS

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

The chapters in red are included in this Early Access PDF.

AUTHOR BIO

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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