{ "item_title" : "Enterprise Excel Automation with Python", "item_author" : [" Alice Schwartz", "Lucas Trenton Hale "], "item_description" : "Reactive PublishingIn today's data-saturated enterprise, Excel is still the operational backbone while Python drives the next generation of automation, analytics, and visualization. This book brings both worlds together into a single, powerful system, designed for analysts, engineers, and finance professionals who need faster workflows, cleaner data, and automated insights at scale.This is a practical engineering guide. You will learn how to build automated Excel-Python pipelines that cleanse data, transform complex datasets, generate real-time dashboards, and eliminate repetitive manual work forever. Every chapter blends clear instruction with production-ready patterns used inside high-performance organizations.You will discover how to:- Build seamless Python integrations inside Excel using modern libraries and connectors- Engineer efficient ETL pipelines that ingest, structure, and deliver clean data across teams- Automate reporting workflows and generate refresh-ready dashboards- Use Python to visualize enterprise data with clarity, depth, and professional polish- Create reusable automation templates to scale analysis across an entire department- Implement quality control, versioning, and auditability for enterprise environments- Transition legacy Excel processes into fast, reliable, code-driven systemsWhether you work in FP&A, data engineering, operations, or business intelligence, this book shows you exactly how to modernize your Excel workflows with Python, without rebuilding your entire stack. The transformation is immediate: faster reporting, cleaner data, fewer errors, and a leap in analytical capability.If you want to automate your organization's data pipelines, elevate decision-making, and operate with true enterprise speed, this is the handbook.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/79/827/715/9798277153741_b.jpg", "price_data" : { "retail_price" : "34.99", "online_price" : "34.99", "our_price" : "34.99", "club_price" : "34.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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