Python-Powered Excel

Excel is the backbone of business, but its limitations with complex data and repetitive manual tasks hinder productivity. Python, the world's most versatile programming language, offers a powerful solution. By utilizing various tools, Excel users can move beyond basic spreadsheet functions and tap into Python's robust capabilities for advanced data analysis and automation. 

This book offers a practical guide to Excel (not necessarily 365) and Python users to automate tedious tasks, analyze data, and create dynamic reports. It will help you use Python's power as an engine to drive analytics and produce deliverables in Excel, as most stakeholders expect. The first section introduces Python, one of today's most popular languages. Learning Python is a stepping stone to mastering other advanced libraries, transitioning smoothly into broader data and automation tools. The next section discusses Python's robust and intelligent tools for handling data. The following two sections discuss versatile tools for Python-Excel integration, enabling you to manipulate, format, and protect Excel files to generate reports. It will also help you replace VBA with Python code, interacting with legacy macros, or developing custom Excel functions to simplify workflow.

WHAT YOU WILL LEARN

● Set up Python and manage environment for reproducibility.

● Python fundamentals and programming basics.

● Clean, transform, and analyze Excel data efficiently with pandas and other libraries.

● Read, write, and format Excel files programmatically.

● Use openpyxl, xlsxwriter, pyxlsb and xlwings for Excel integration.

● Interact with Excel directly with Python via COM object or AppleScript.

WHO THIS BOOK IS FOR

This book is designed for Excel users, professionals, analysts, students, or anyone eager to leverage Python for automating, analyzing, and managing Excel spreadsheets efficiently. It will also help Python programmers and data scientists, communicating with stakeholders and business executives, who are interested in Excel, to deploy deliverables powered by Python with Excel as a front-end.