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Enterprise Excel Automation with Python: Data Engineering & Visualization: A Comprehensive Guide

by Alice Schwartz , Lucas Trenton Hale
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Current price ₹3,003.00
Original price ₹3,442.00
Original price ₹3,442.00
Original price ₹3,442.00
(-13%)
₹3,003.00
Current price ₹3,003.00

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Book cover type: Paperback
  • ISBN13: 9798277153741
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Publication Date:
  • Pages: 378
  • Original Price: GBP 26.47
  • Language: English
  • Edition: N/A
  • Item Weight: 504 grams
  • BISAC Subject(s): Languages / Python

Reactive Publishing

In 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 systems

Whether 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.

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