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Python-in-Excel 2026 Edition: The Complete Finance & FP&A Integration Handbook: A Comprehensive Guide

by Danny Munrow , Hayden Van Der Post
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Current price ₹3,291.00
Original price ₹3,731.00
Original price ₹3,731.00
Original price ₹3,731.00
(-12%)
₹3,291.00
Current price ₹3,291.00

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Book cover type: Paperback
  • ISBN13: 9798276850849
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Publication Date:
  • Pages: 584
  • Original Price: GBP 28.7
  • Language: English
  • Edition: N/A
  • Item Weight: 772 grams
  • BISAC Subject(s): Languages / Python

Reactive Publishing

Python-in-Excel is no longer an experiment. By 2026, it has become the new default for advanced financial modeling, automation, analytics, and strategic decision-making.
This book shows you exactly how to harness it.

Python-in-Excel 2026 Edition is the definitive guide for modern finance teams, FP&A professionals, data analysts, and anyone who needs to build intelligent models without leaving Excel. Blending the comfort of spreadsheets with the power of Python, this handbook gives you a complete operating system for next-generation financial workflows.

Inside, you'll learn how to design scalable forecasting models, automate repetitive tasks, integrate machine learning and statistical tools, build real-time dashboards, and connect Python directly into Excel's formulas, tables, and PowerBI reporting layers. Every chapter is engineered to help you move faster, think more strategically, and deliver insights at a level that was impossible before.

Whether you're building a dynamic FP&A forecast model, designing a Monte Carlo simulation, cleaning messy financial data, creating an automation pipeline, or using Python to replace dozens of complex Excel formulas, this book gives you a complete blueprint for the future of spreadsheet-native analytics.

What You'll Learn

- The 2026 Python-in-Excel architecture
How Microsoft integrates Python, Excel, PowerBI, and automation into a single analytics environment.

- Next-generation forecasting & FP&A workflows
Scenario modeling, rolling forecasts, driver-based planning, and automated sensitivity analysis.

- Python-based financial modeling inside Excel
Portfolio analytics, optimization, capital allocation, options pricing, volatility models, and time-series forecasting.

- Data transformation & automation pipelines
Clean, shape, merge, and automate large datasets directly in Excel using Python.

- Machine learning in Excel for finance
Regression, classification, clustering, anomaly detection, demand forecasting, and predictive analytics.

- Advanced Excel formulas powered by Python
Replace long formulas with clean Python blocks. Build hybrid models combining Excel + Pandas/Numpy.

- Executive-grade reporting
Link Excel, Python, and PowerBI into an end-to-end reporting system that updates automatically.

- Workflow engineering for modern teams
Versioning, quality checks, automation triggers, model governance, and collaborative development.

Who This Book Is For

This book is built for:
- Financial analysts
- FP&A professionals and CFO teams
- Data analysts and business intelligence specialists
- Quantitative finance practitioners
- Excel power users ready to level up
- Anyone who wants the speed of Excel and the power of Python in one unified system

By the end of this book, you'll have a fully modernized analytics stack, all inside Excel.
Python-in-Excel is the future of spreadsheet modeling. This is the handbook that shows you how to master it.

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