Python in Excel: Unlocking powerful data analysis and automation solutions

ourprice £42.99

Author Kathryn Newitt
Format Paperback
Publisher Pearson Education (US)
Publication Date 2026-01-23
Pages 368
ISBN-13 9780135437971

In stock

Description

Seasoned Experts Liam Bastick and Kathryn Newitt unveil a groundbreaking guide to mastering data analysis and automation with Python in Excel Python in Excel: Unlocking powerful data analysis and automation solutions is a hands-on, practical guide that leverages the authors’ decades of expertise to teach you how to harness the newly integrated Python capabilities within Microsoft Excel, mapping familiar Excel concepts to Python foundations. Covering essential topics such as Python syntax, data structures, data analysis with pandas, visualization, and the use of complementary tools such as Power Query and Copilot (AI), this book empowers you to elevate your data analysis and automation skills. Readers will gain the ability to perform advanced forecasting, build predictive models, and streamline workflows, making you more efficient and competitive in today’s data-driven workplace. By reading this book, you will: Understand the fundamentals of Python programming directly within ExcelMap your existing Excel skills to Python concepts for easier learningAutomate repetitive tasks and workflowsAnalyze and visualize data with powerful Python libraries like pandasBuild advanced forecasting and predictive models without leaving ExcelExplore and manipulate data efficiently using Python’s concise syntaxIntegrate AI tools such as Copilot to assist with coding and analysisConnect Excel with external data sources using Python and Power QueryDevelop custom solutions for business modeling and data sciencePrepare for further study and mastery of Python in Excel

Additional information

Weight 0.668 kg
Dimensions 2.4 × 23.6 × 18.7 cm
Author

Kathryn Newitt

Publisher

Pearson Education (US)

Imprint

Addison Wesley

Format

Paperback

ISBN-13

9780135437971

Publication Date

2026-01-23

Publication Year

2026

Pages

368

Country of Publication

GB

Language

English

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