Reactive Publishing Python in Excel is the definitive guide for professionals ready to go beyond formulas and transform Excel into a dynamic automation and modeling engine. Tailored for analysts, financial modelers, and data professionals, this advanced playbook merges Python's robust capabilities with Excel's familiar interface-creating a new paradigm for speed, accuracy, and scalability. Inside this guide, you'll learn how to: Embed and execute Python code seamlessly in Excel using the new native integration ...
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Reactive Publishing Python in Excel is the definitive guide for professionals ready to go beyond formulas and transform Excel into a dynamic automation and modeling engine. Tailored for analysts, financial modelers, and data professionals, this advanced playbook merges Python's robust capabilities with Excel's familiar interface-creating a new paradigm for speed, accuracy, and scalability. Inside this guide, you'll learn how to: Embed and execute Python code seamlessly in Excel using the new native integration Automate repetitive workflows and reporting processes Build sophisticated dashboards, forecasts, and simulations with live Python logic Leverage Pandas, NumPy, and Matplotlib inside spreadsheets Construct dynamic financial models that scale beyond traditional Excel limits Create powerful end-to-end pipelines for data extraction, transformation, and visualization Whether you're a financial analyst seeking cleaner models or a data scientist aiming to bridge Excel's legacy with Python's future, this book delivers the tools, workflows, and real-world examples to elevate your work and save hundreds of hours.
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Add this copy of Python in Excel 2: Advanced Guide to Data Automation, to cart. $45.22, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2025 by Independently Published.
