9798276850849 - Python-in-Excel 2026 Edition: The Complete Finance & FP&A Integration Handbook: A Comprehensive Guide di Van Der Post, Hayden (11 risultati)

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: New.

Condizione: New. Print on Demand.

Paperback. Condizione: new. Paperback. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condizione: new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.