Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 48,12
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 49,54
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Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 56,88
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 45,78
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 49,34
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EUR 52,46
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. Reactive PublishingIn Python in Excel 3, Hayden Van Der Post returns with the most advanced guide yet, taking financial modeling into the age of AI. This isn't just another Excel book-this is the future of finance, where Python, CoPilot, and large language models (LLMs) converge to automate, accelerate, and transform your entire workflow.What You'll Learn: Seamless Python Integration: Build and execute Python code directly inside Excel using Microsoft's native Python-in-Excel engine.LLM-Augmented Forecasting: Leverage GPT-style AI models to generate assumptions, scenarios, and even write DAX/Excel formulas.CoPilot for Finance: Automate complex modeling with natural language, create dashboards in seconds, and scale analysis beyond human limits.Real-World Templates: Dynamic cash flow models, valuation frameworks, Monte Carlo simulators, and FP&A dashboards, fully automated.Risk, Return & AI: Apply machine learning to model uncertainty, optimize decisions, and explain it all to your boss with clarity and charts.Who This Is For: FP&A professionals, data-savvy CFOs, and financial analysts tired of manual grindQuantitative Excel users who want to go beyond VBAStartup founders, investment professionals, and anyone who wants to work 5x faster and 10x smarterWhy This Book Matters: In 2025, your edge is not just technical, it's augmented.Let Excel talk to Python. Let CoPilot handle your grunt work. Let LLMs brainstorm your next model.This book is your operating manual for that new financial reality. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
EUR 52,63
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
EUR 45,79
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Aggiungi al carrelloPAP. 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.
Da: CitiRetail, Stevenage, Regno Unito
EUR 50,42
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. Reactive PublishingIn Python in Excel 3, Hayden Van Der Post returns with the most advanced guide yet, taking financial modeling into the age of AI. This isn't just another Excel book-this is the future of finance, where Python, CoPilot, and large language models (LLMs) converge to automate, accelerate, and transform your entire workflow.What You'll Learn: Seamless Python Integration: Build and execute Python code directly inside Excel using Microsoft's native Python-in-Excel engine.LLM-Augmented Forecasting: Leverage GPT-style AI models to generate assumptions, scenarios, and even write DAX/Excel formulas.CoPilot for Finance: Automate complex modeling with natural language, create dashboards in seconds, and scale analysis beyond human limits.Real-World Templates: Dynamic cash flow models, valuation frameworks, Monte Carlo simulators, and FP&A dashboards, fully automated.Risk, Return & AI: Apply machine learning to model uncertainty, optimize decisions, and explain it all to your boss with clarity and charts.Who This Is For: FP&A professionals, data-savvy CFOs, and financial analysts tired of manual grindQuantitative Excel users who want to go beyond VBAStartup founders, investment professionals, and anyone who wants to work 5x faster and 10x smarterWhy This Book Matters: In 2025, your edge is not just technical, it's augmented.Let Excel talk to Python. Let CoPilot handle your grunt work. Let LLMs brainstorm your next model.This book is your operating manual for that new financial reality. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.