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Python for Excel Users - by  Tracy Stephens (Paperback) - 1 of 1

Python for Excel Users - by Tracy Stephens (Paperback)

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Highlights

  • When Excel isn't enough, it's time to learn Python.
  • About the Author: Tracy Stephens is a quantitative developer based in New York City.
  • 344 Pages
  • Computers + Internet,

Description



Book Synopsis



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.



About the Author



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.
Dimensions (Overall): 9.2 Inches (H) x 7.05 Inches (W) x .9 Inches (D)
Weight: 1.45 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 344
Genre: Computers + Internet
Publisher: No Starch Press
Theme: Python
Format: Paperback
Author: Tracy Stephens
Language: English
Street Date: September 23, 2025
TCIN: 1002293862
UPC: 9781718503984
Item Number (DPCI): 247-36-3011
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.9 inches length x 7.05 inches width x 9.2 inches height
Estimated ship weight: 1.45 pounds
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Q: What is the main focus of the book?

submitted by AI Shopping Assistant - 7 days ago
  • A: The book focuses on using Python to enhance and automate tasks typically done in Excel.

    submitted byAI Shopping Assistant - 7 days ago
    Ai generated

Q: What type of exercises does the book include?

submitted by AI Shopping Assistant - 7 days ago
  • A: The book includes short, Excel-inspired exercises to help users get comfortable with Python.

    submitted byAI Shopping Assistant - 7 days ago
    Ai generated

Q: Who is the author of this book?

submitted by AI Shopping Assistant - 7 days ago
  • A: The author is Tracy Stephens, a quantitative developer with extensive experience in Excel and Python.

    submitted byAI Shopping Assistant - 7 days ago
    Ai generated

Q: What programming knowledge is required to use this book?

submitted by AI Shopping Assistant - 7 days ago
  • A: No prior programming knowledge is required; the book is designed for Excel users transitioning to Python.

    submitted byAI Shopping Assistant - 7 days ago
    Ai generated

Q: What can readers expect to learn from this book?

submitted by AI Shopping Assistant - 7 days ago
  • A: Readers will learn to automate tasks, clean data, and create visualizations using Python.

    submitted byAI Shopping Assistant - 7 days ago
    Ai generated

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