Python For Excel Users By Tracy Stephens Paperback
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Python for Excel Users
Author: Tracy Stephens
language: en
Publisher: NO STARCH PRESS, INC
Release Date: 2025-09-23
When Excel isn’t enough, it’s time to learn Python. If you’re comfortable in Excel, but you’ve hit a wall—slow files, broken formulas, hours spent on repetitive tasks—this book offers a way forward. It shows you how to take the work you already do in spreadsheets and make it faster, smarter, and more powerful with Python. You’ll start by setting up your environment and getting comfortable with Python through short, Excel-inspired exercises. From there, you’ll gradually move into writing scripts that automate manual work, structure your data, and generate consistent results—no prior programming knowledge required. You’ll use your preexisting Excel skills to learn how to: Translate spreadsheet logic into Python code Use pandas to clean, reshape, and filter data Automate reports you’d normally build by hand Read and write Excel files directly from Python Connect to databases and APIs Create professional visualizations with Plotly and Dash Organize code into sharable modules and write simple tests Throughout the book, you’ll find practical examples that show why and how to move your work out of spreadsheets and into scripts, and how to resolve issues along the way. Author Tracy Stephens has extensive practical experience with both Excel and Python. Her approach is grounded in real workflows, and she introduces each concept through tasks you’ve likely handled in Excel. This book won’t ask you to replace everything you do in spreadsheets, but it will help you use Python to work faster, more reliably, and with greater flexibility than you ever could with Excel.
Python for Excel Users
In today's data-driven world, the ability to efficiently analyze and interpret information is more crucial than ever, especially in the business sector. "Python for Excel Users: A Beginner's Guide" is tailored for business students and professionals proficient in Microsoft Excel but are ready to embark on their Python journey.
Python for Excel
Author: Hayden Van Der Post
language: en
Publisher: Independently Published
Release Date: 2023-10-28
Reactive Publishing Python for Excel: Python Powered Formula One racing Python for Excel is the ultimate guide for Excel users who are ready to take their data manipulation and analysis skills to the next level. This comprehensive book bridges the gap between Excel and Python, empowering readers to harness the power of Python's robust libraries for advanced data processing and automation. In this book, author Hayden Van Der Post expertly guides readers through the integration of Python and Excel, unraveling the limitations of Excel and unleashing a world of possibilities. Starting with an introduction to Python and its advantages over Excel, readers will discover the immense capabilities that Python brings to the table, such as handling large datasets effortlessly and automating complex tasks. The book then dives into the practical aspects of integrating Python with Excel, showcasing how Python can amplify Excel's functionality. Exploring the limitations of Excel, readers will learn how Python can extend its capabilities by leveraging its powerful libraries and frameworks. From advanced statistical analysis to handling big data and creating impressive visualizations, Python becomes the secret weapon that propels Excel users to new levels of productivity and accuracy. Throughout the book, Van Der Post provides clear and concise explanations, accompanied by practical examples and code snippets. Readers will gain a solid understanding of how to set up the Python environment for seamless integration, navigate the Excel-Python interface using popular libraries like xlwings, and unlock the full potential of Python's data manipulation and analysis capabilities. This book is not just for Excel power users, but also for beginners looking to expand their toolset and enhance their data processing skills. By the end of "Python for Excel Advanced: From CELL-FIEs to Financial Forecasts," readers will have a comprehensive understanding of how to harness the power of Python to tackle complex data challenges and unlock valuable insights. With its practical approach, real-world examples, and comprehensive coverage, "Python for Excel is the essential guide for anyone looking to supercharge their Excel skills and excel in the world of data analysis and automation. Whether you're a seasoned professional or just starting your journey, this book will transform you into a Python-powered Excel wizard. Don't miss out on the opportunity to revolutionize your Excel workflow and become a true master of data manipulation.