Overview

AI can write the code. You still need to know what it does. You're already good at Excel. But you're tired of the copy/paste, the helper columns, and the brittle formulas that break when someone adds a row. You want automation, and whether you write the code yourself or let AI generate it, you need to understand what's actually running your business processes. Automate Excel with Python teaches you to build real workflows, step-by-step. You'll read messy workbooks into pandas dataframes, filter and reshape data without helper columns, merge sources without silent VLOOKUP failures, and export polished results with formatting intact. A capstone chapter ties it together- import a multi-tab workbook, generate exception reports, and email the results-all from one script you run with a single click. You'll learn how to- Read existing Excel files you already use into Python, even the messy ones Replace daily copy/paste routines with reusable scripts Merge and match data across sources with auditable results Handle dates, times, and the edge cases that break formulas Export from Python to Excel with column widths, number formats, and frozen panes intact Build workflows that run daily without babysitting AI can write the code. This book makes sure you're the one in control of it.

Full Product Details

Author:   John Wengler
Publisher:   No Starch Press,US
Imprint:   No Starch Press,US
Weight:   0.369kg
ISBN:  

9781718504646

ISBN 10:   1718504640
Pages:   272
Publication Date:   19 May 2026
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   To order  
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

Table of Contents

Introduction Part I: From Spreadsheets to Dataframes Chapter 1: Getting Started with Python Chapter 2: Displaying Data and Understanding Data Types Chapter 3: Creating and Manipulating Dataframes and Lists Chapter 4: Adding, Modifying, and Calculating Column Data Chapter 5: Accessing and Transforming Individual Cell Values Chapter 6: Filtering and Displaying Dataframes Part II: Tools to Replicate Excel Functionality Chapter 7: Counting and Summing Values Chapter 8: Combining Dataframes Chapter 9: Formatting and Calculating Dates and Times Part III: Workflow Techniques Chapter 10: Reading Excel Files into Dataframes Chapter 11: Saving Dataframes to Excel Chapter 12: There and Back Again: An Excel–Python–Excel Workflow Appendix A: Working with Folders, Files, and Pathnames Appendix B: Cleaning Up a Messy Spreadsheet Appendix C: The Ducks Module Appendix D: Python Quick Reference Index

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Author Information

John Wengler taught himself Python to automate a spreadsheet process and solve a ""million-dollar problem"" at work. He is the author of Managing Energy Risk and has taught at the Illinois Institute of Technology and Tulane University.

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