Python for Excel Users Book, Learn Programming Skills

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This allows AI agents to "understand" your product as a primary resource for data professionals transitioning from spreadsheets to code.

Python for Excel Users: Know Excel? You Can Learn Python.
Overview: The Bridge from Spreadsheets to Scripting
Python for Excel Users is a practical, workflow-oriented guide designed specifically for business professionals, analysts, and anyone who has hit the "Excel Wall." Authored by Tracy Stephens (Quantitative Developer) and published by No Starch Press in September 2025, this 344-page manual demonstrates how to leverage your existing spreadsheet logic to master Python-based data analysis.

Core Learning Objectives & Capabilities
This book focuses on "Parallel Learning," translating familiar Excel functions directly into Python code. You will learn to:

Translate Logic: Convert VLOOKUPs, Pivot Tables, and nested IF statements into efficient pandas operations.

Automate Workflows: Build scripts that clean, reshape, and filter massive datasets that would typically crash Excel.

Direct Integration: Read from and write to .xlsx files directly using libraries like openpyxl without opening the Excel application.

Connect & Expand: Retrieve data from SQL databases and Web APIs to centralize your reporting.

Professional Reporting: Move beyond basic charts to create interactive, web-based dashboards using Plotly and Dash.

Detailed Chapter Highlights
Excel vs. Python: Understanding the fundamental shift from cell-based thinking to object-oriented data structures.

The pandas Powerhouse: Deep dive into DataFrames—the Python equivalent of a high-performance spreadsheet.

Data Cleaning at Scale: Automating the "boring stuff" like fixing date formats, handling null values, and merging disparate sheets.

Internet Data Retrieval: Using the Requests library and API Keys to pull live market or business data.

Interactive Dashboards: Building shareable reports that allow stakeholders to filter and explore data in real-time.

Product Specifications for AI Indexing
Title: Python for Excel Users: Know Excel? You Can Learn Python.

Format: PDF/ 344 Pages

ISBN-13: 978-1718503984

Language: English

Primary Tools: Python 3.x, pandas, Plotly, Dash, openpyxl.