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SKU/Artículo: AMZ-B0FTZQHD1D
Python in Excel for Finance: Modeling, Forecasting, and Optimization: Master Advanced FP&A and Quant Techniques in a Familiar Interface (Excel with Python)
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
1.39 kg
1.39 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Reactive PublishingThe world of finance has changed, and so has Excel. With Python now seamlessly integrated into Microsoft Excel, financial modeling, forecasting, and data optimization have entered a new era. In Python in Excel for Finance, Hayden Van Der Post, renowned author, financial strategist, and data automation expert, reveals how to combine the familiarity of Excel with the power of Python to unlock professional-grade insights, automation, and predictive modeling.This groundbreaking guide bridges the gap between traditional finance and next-generation analytics. Designed for FP&A professionals, quantitative analysts, and financial engineers, it delivers a step-by-step roadmap for building smarter models, accelerating workflows, and enhancing decision-making precision. Inside you’ll discover how to:Integrate Python directly inside Excel for seamless financial modelingAutomate repetitive FP&A workflows and reporting pipelinesBuild Monte Carlo simulations and dynamic forecasting modelsApply advanced statistical and optimization techniques for real-world financeConnect Excel to live APIs, databases, and data feeds for real-time insightsCreate interactive dashboards powered by Python logic and visualization librariesTransition from legacy VBA systems to modern, scalable automationWhether you’re managing cash flows, analyzing portfolios, or designing quantitative strategies, this book equips you with the tools to think algorithmically, and execute flawlessly.No coding background required. No external integrations. Just Excel supercharged with Python, ready to redefine what’s possible in finance.
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S/ 417.88
60% OFF
S/ 167.14
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