Python in Excel for Finance: Modeling, Forecasting, and Optimization: Master Advanced FP&A and Quant Techniques in a Familiar Interface: 7 (Excel with Python) - Softcover
Book 7 of 13: Excel with Python
Synopsis
Reactive Publishing
The 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 modeling
Automate repetitive FP&A workflows and reporting pipelines
Build Monte Carlo simulations and dynamic forecasting models
Apply advanced statistical and optimization techniques for real-world finance
Connect Excel to live APIs, databases, and data feeds for real-time insights
Create interactive dashboards powered by Python logic and visualization libraries
Transition from legacy VBA systems to modern, scalable automation
Whether 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.
"synopsis" may belong to another edition of this title.
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Python in Excel for Finance (Paperback)
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Paperback. Condition: new. Paperback. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798268611779
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Paperback. Condition: new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798268611779
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