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Python in Excel

Liam Bastick

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      FORMAT: Paperback / softback

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      Format: Paperback / softback

      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 readers 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 AI tools like Copilot, the book empowers professionals to elevate their data analysis and automation skills. Readers will gain the ability to perform advanced forecasting, build predictive models, and streamline workflows, making them 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 workflows Analyze and visualize data with powerfulPython libraries like pandas Build 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 scienceCreate a roadmap for further study and mastery of Python in Excel

      CONTRIBUTORS: Liam Bastick EAN: 9780135437971 COUNTRY: United States PAGES: WEIGHT: HEIGHT:
      PUBLISHED BY: Pearson Education (US) DATE PUBLISHED: 2026-01-07 CITY: GENRE: COMPUTERS / Languages / General, COMPUTERS / Languages / Python, COMPUTERS / Business & Productivity Software / Spreadsheets WIDTH: SPINE:

      Book Themes:

      Spreadsheet software, Programming and scripting languages: general

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      Format: Paperback / softback

      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 readers 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 AI tools like Copilot, the book empowers professionals to elevate their data analysis and automation skills. Readers will gain the ability to perform advanced forecasting, build predictive models, and streamline workflows, making them 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 workflows Analyze and visualize data with powerfulPython libraries like pandas Build 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 scienceCreate a roadmap for further study and mastery of Python in Excel

      CONTRIBUTORS: Liam Bastick EAN: 9780135437971 COUNTRY: United States PAGES: WEIGHT: HEIGHT:
      PUBLISHED BY: Pearson Education (US) DATE PUBLISHED: 2026-01-07 CITY: GENRE: COMPUTERS / Languages / General, COMPUTERS / Languages / Python, COMPUTERS / Business & Productivity Software / Spreadsheets WIDTH: SPINE:

      Book Themes:

      Spreadsheet software, Programming and scripting languages: general

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