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Sprache: Englisch
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Sprache: Englisch
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Paperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Sprache: Englisch
Verlag: Independently published, 2025
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Sprache: Englisch
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Sprache: Englisch
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Sprache: Englisch
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Sprache: Englisch
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Sprache: Englisch
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Sprache: Englisch
Verlag: Independently Published Mär 2025, 2025
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Taschenbuch. Zustand: Neu. Neuware - Reactive PublishingPython in Excel: Automate, Analyze, and Accelerate Your WorkflowThe game has changed, Python is now integrated directly into Microsoft Excel, and the way you work with data will never be the same.In Python in Excel, Hayden Van Der Post delivers the definitive guide to maste…ring this revolutionary fusion. Whether you're a financial analyst, data scientist, business intelligence professional, or Excel power user, this book will show you how to unlock next-level performance inside the world's most trusted spreadsheet tool.Inside you'll learn how to: - Embed and execute Python code natively within Excel- Build powerful automations that eliminate manual tasks- Create advanced visualizations beyond Excel's native charts- Perform complex data transformations and statistical analysis- Connect Excel to APIs, databases, and real-time data sources- Build smart, flexible dashboards with Python logic baked inNo VBA. No clunky add-ins. Just seamless, integrated automation and analytics-all within Excel.Whether you're optimizing workflows or building predictive models, this book shows you how to use Python to supercharge your spreadsheets and transform the way you work.

Sprache: Englisch
Verlag: Independently Published Jul 2025, 2025
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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Taschenbuch. Zustand: Neu. Neuware - Reactive PublishingTake Excel beyond its limits, and build enterprise-grade solutions with Python.In the modern workplace, Excel is everywhere. But when workflows become mission-critical and scalability matters, spreadsheets alone aren't enough. In Python in Excel: Building Custom Add-Ins and… Plugins for Enterprise Use, you'll learn how to convert your Excel workbooks into powerful, modular business tools, ready for deployment across teams, departments, and entire organizations.Whether you're a systems analyst, software engineer, business leader, or finance expert, this book shows you how to weaponize Python's flexibility inside the world's most ubiquitous tool: Microsoft Excel.You'll learn how to: - Create custom functions (UDFs) using Python for advanced, reusable logic- Develop enterprise-ready Excel Add-ins with Python and JavaScript- Build Python-powered Excel plugins with graphical interfaces- Deploy solutions securely across teams without exposing raw code- Automate cross-platform tasks using Office Scripts, COM, and Python APIs- Connect Excel to cloud services, APIs, and real-time databases- Implement version control and structured releases for plugin distribution- Ensure compatibility with Microsoft 365, desktop Excel, and Excel OnlineWith hands-on examples and real-world case studies, this guide equips you to elevate Excel from a static tool to a dynamic, enterprise-integrated platform.If your organization lives in Excel, but needs it to do more, this is the book that shows you how to build tools that scale.

Sprache: Englisch
Verlag: Independently Published Okt 2025, 2025
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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Taschenbuch. Zustand: Neu. Neuware - Reactive PublishingIn a world where data drives every decision, Python in Excel for Business Intelligence bridges the gap between code and clarity. This groundbreaking guide empowers analysts, managers, and finance professionals to harness the full power of Python directly inside Excel, trans…forming spreadsheets into intelligent, automated, and insight-driven systems.From automating data workflows to building predictive dashboards, Hayden Van Der Post, renowned for his mastery in finance and automation, walks you through every essential technique with precision and elegance. You'll learn how to integrate Python seamlessly within Excel, perform advanced analytics, visualize complex datasets, and eliminate repetitive manual work.Whether you're optimizing reports, forecasting performance, or uncovering hidden trends, this book offers a step-by-step blueprint to build next-generation business intelligence solutions.Inside you'll discover: - How to connect Excel and Python for dynamic automation- Techniques for real-time financial modeling and reporting- Advanced analytics and visualization with pandas and Plotly- Workflow strategies that multiply productivity across teams- Case studies from real business intelligence systemsProfessional. Modern. Transformative.This is more than a technical manual, it's a masterclass in redefining how business intelligence is done.

Sprache: Englisch
Verlag: Independently Published Jan 2026, 2026
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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Taschenbuch. Zustand: Neu. Neuware - Reactive PublishingPython in Excel for Data Pipelines shows how to turn Excel from a static spreadsheet into a living, breathing data hub.This book is for analysts, operators, and builders who already live in Excel but need real pipelines not copy-paste workflows. You'll learn how to embed Py…thon directly into Excel to pull data from APIs, automate transformations, schedule refreshes, and keep models continuously up to date without leaving the spreadsheet environment.Rather than treating Excel as the final stop, this book reframes it as the control layer. Python becomes the engine underneath handling ingestion, validation, enrichment, and orchestration while Excel remains the interface decision-makers actually use.Inside, you'll learn how to: - Connect Excel to live data sources using REST APIs, webhooks, and authenticated endpoints- Build repeatable ingestion pipelines that clean, normalize, and version data automatically- Schedule refresh cycles so spreadsheets update themselves on defined intervals- Design resilient workflows that handle failures, stale data, and API limits- Combine Python logic with Excel formulas, tables, and Power Query for hybrid pipelines- Turn Excel into a lightweight data product for finance, ops, analytics, and reporting teamsThe focus is practical and production-minded. No toy examples. No abstract data engineering theory. Every pattern is designed for real-world constraints where Excel is non-negotiable but manual work is unacceptable.If you want Excel dashboards that stay current, models that refresh themselves, and spreadsheets that behave like systems instead of documents, this book gives you the architecture and tooling to make it happen.

Sprache: Englisch
Verlag: Independently Published Aug 2025, 2025
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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Taschenbuch. Zustand: Neu. Neuware - 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 grind- Quantitative Excel users who want to go beyond VBA- Startup founders, investment professionals, and anyone who wants to work 5x faster and 10x smarterWhy This Book Matters: In 2026, 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.

Sprache: Englisch
Verlag: Independently Published Okt 2025, 2025
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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Taschenbuch. Zustand: Neu. Neuware - 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 stra…tegist, 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 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.