{ "item_title" : "Python-in-Excel 2026 Edition", "item_author" : [" Danny Munrow", "Hayden Van Der Post "], "item_description" : "Reactive PublishingPython-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 architectureHow Microsoft integrates Python, Excel, PowerBI, and automation into a single analytics environment.- Next-generation forecasting & FP&A workflowsScenario modeling, rolling forecasts, driver-based planning, and automated sensitivity analysis.- Python-based financial modeling inside ExcelPortfolio analytics, optimization, capital allocation, options pricing, volatility models, and time-series forecasting.- Data transformation & automation pipelinesClean, shape, merge, and automate large datasets directly in Excel using Python.- Machine learning in Excel for financeRegression, classification, clustering, anomaly detection, demand forecasting, and predictive analytics.- Advanced Excel formulas powered by PythonReplace long formulas with clean Python blocks. Build hybrid models combining Excel + Pandas/Numpy.- Executive-grade reportingLink Excel, Python, and PowerBI into an end-to-end reporting system that updates automatically.- Workflow engineering for modern teamsVersioning, quality checks, automation triggers, model governance, and collaborative development.Who This Book Is ForThis 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 systemBy 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.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/79/827/685/9798276850849_b.jpg", "price_data" : { "retail_price" : "37.99", "online_price" : "37.99", "our_price" : "37.99", "club_price" : "37.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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