From Excel to Python

Still copying and pasting data between Excel files every Monday morning? There is a better way — and you already have the skills to learn it.

If you have been using Excel for months or years, you are not starting from zero. Every formula you have written is a function. Every IF statement is conditional logic. Every pivot table is a grouped aggregation. You already think like a programmer — you just have not learned the syntax yet.

From Spreadsheets to Python bridges that gap. Completely.

This is the Python book written specifically for Excel users, analysts, finance professionals, and data-driven managers who want to automate repetitive work, process large datasets, and build tools that run themselves — without going back to university or wading through academic computer science theory.

Every single concept in this book is introduced through an Excel analogy first, then demonstrated in Python. VLOOKUP becomes a dictionary lookup. A SUM formula becomes a pandas aggregation. A pivot table becomes a groupby. The translation is explicit, chapter by chapter, so there is never a moment where you feel lost.

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WHAT YOU WILL LEARN

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✔ Python fundamentals through Excel — variables, data types, lists, dictionaries, loops, and functions explained using the Excel concepts you already know cold

✔ Reading and writing Excel files with Python — open, read, modify, and export .xlsx files without touching Excel at all, using openpyxl and pandas

✔ Data cleaning at scale — handle missing values, fix inconsistent formatting, remove duplicates, and standardise columns across hundreds of files in seconds

✔ Data analysis with pandas — filter, sort, group, aggregate, and merge datasets the way SQL and Excel do, but faster and with no row limits

✔ Automation that runs itself — write Python scripts that replace hours of manual monthly work and run on a schedule without you touching a keyboard

✔ Data visualisation beyond Excel charts — create professional publication-quality charts with matplotlib and seaborn that update automatically with new data

✔ Three complete real-world projects — a Monthly Sales Report Generator, an Automated Data Cleaning Pipeline, and a Multi-File Dashboard that consolidates dozens of spreadsheets into one output in under 10 seconds

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HOW THIS BOOK IS DIFFERENT

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Most Python books for beginners start from scratch and treat Excel as something to leave behind. This book does the opposite. It starts from what you know, shows you exactly how your existing Excel skills translate into Python code, and gets you writing real, useful scripts from the very first chapter.

No theoretical exercises about calculating prime numbers. No academic examples disconnected from business work. Every example uses realistic sales data, financial figures, or operational reports — the kind of data you work with every day.

By the end of Chapter 3, you will have a working Python script that opens an Excel file, cleans the data, and exports a formatted report. No exceptions.

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WHO THIS BOOK IS FOR

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This book is written for professionals who live in Excel and want to move beyond its limitations:

→ Financial analysts and accountants who spend hours every month consolidating reports, reconciling data, and formatting spreadsheets that could run themselves

→ Data analysts and business intelligence professionals hitting Excel's row limits or performance ceiling on large datasets

→ Operations and supply chain managers who build and maintain complex multi-tab Excel models manually updated every week

→ Sales managers and reporting teams who produce the same dashboard every month from scratch

→ Anyone who has said "I should learn Python" and never found a book that made it feel achievable

No prior programming experience required. No computer science background needed. If you can write a SUMIF, you can write a pandas groupby. This book makes the path between the two completely clear.

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WHAT MAKES PYTHON WORTH LEARNING IN 2025

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Excel has a hard limit of 1,048,576 rows. Python has no limit. Excel recalculates manually. Python scripts run on a schedule. Excel processes one file at a time. Python processes hundreds simultaneously. A task that takes an Excel professional 3 hours every month takes Python 8 seconds — every time, reliably, without human error.

Python is consistently ranked the number one programming language in the world. It is free, open source, and runs on any computer. The skills you build in this book transfer directly to data science, machine learning, web development, and AI automation — the highest-demand technical skills of the next decade.

Learning Python as an Excel professional is one of the highest-return skill investments you can make in 2025. This book is the fastest, most direct path to get there.

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ABOUT THE FROM SPREADSHEETS TO CODE SERIES

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From Spreadsheets to Python is Book 1 of the From Spreadsheets to Code series by Waskey Press — six practical books that teach SQL, JavaScript, R, VBA, and AI Tools to Excel professionals who want to extend their capabilities without a computer science degree. Each book in the series starts from Excel and builds to professional-grade technical skills through real-world projects and zero academic filler.