Description

Book Synopsis

Python for Information Professionals: How to Design Practical Applications to Capitalize on the Data Explosion is an introduction to the Python programming language for library and information professionals with little or no prior experience. As opposed to the many Python books available today that focus on the language only from a general sense, this book is designed specifically for information professionals who are seeking to advance their career prospects or challenge themselves in new ways by acquiring skills within the rapidly expanding field of data science.

Readers of Python for Information Professionals will learn to:

    1. Develop Python applications for the retrieval, cleaning, and analysis of large datasets.
    2. Design applications to support traditional library functions and create new opportunities to maximize library value.
    3. Consider data security and privacy relevant to data analysis when using the Python language.


Table of Contents

Preface

Part I: Python: The Basics

  • Chapter 1 – The Python Workspace
  • Chapter 2 – Object Oriented Programming
  • Chapter 3 – Data Types, Structures, Sets and Algorithms
  • Chapter 4 – Functions: Code that Puts Our Data to Work
  • Chapter 5 – Importing, Creating, and Maintaining Data Files
  • Chapter 6 – Testing and Troubleshooting

Part II: Further Applications of Python in Information Organizations

  • Chapter 7 – Library Management and Usage Data
  • Chapter 8 – Library Research Data Management
  • Chapter 9 – Text Analysis
  • Chapter 10 – Library and Information Science Research
  • Chapter 11 – Artificial Intelligence Applications

Part III: Practical and Ethical Considerations for Using Python

  • Chapter 12 – Data Explosion, Big Data, and Data Literacy
  • Chapter 13 – Data Ethics
  • Chapter 14 – Knowledge and Data Economy
  • Chapter 15 – Further Resources for Advancing Your Python Mastery

Glossary

Index

About the Author

Python for Information Professionals: How to

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    £27.00

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    RRP £30.00 – you save £3.00 (10%)

    Order before 4pm tomorrow for delivery by Fri 19 Jun 2026.

    A Paperback / softback by Brady Lund, Daniel Agbaji, Kossi Dodzi Bissadu

    Out of stock


      View other formats and editions of Python for Information Professionals: How to by Brady Lund

      Publisher: Rowman & Littlefield
      Publication Date: 01/11/2023
      ISBN13: 9781538178256, 978-1538178256
      ISBN10: 1538178257

      Description

      Book Synopsis

      Python for Information Professionals: How to Design Practical Applications to Capitalize on the Data Explosion is an introduction to the Python programming language for library and information professionals with little or no prior experience. As opposed to the many Python books available today that focus on the language only from a general sense, this book is designed specifically for information professionals who are seeking to advance their career prospects or challenge themselves in new ways by acquiring skills within the rapidly expanding field of data science.

      Readers of Python for Information Professionals will learn to:

        1. Develop Python applications for the retrieval, cleaning, and analysis of large datasets.
        2. Design applications to support traditional library functions and create new opportunities to maximize library value.
        3. Consider data security and privacy relevant to data analysis when using the Python language.


      Table of Contents

      Preface

      Part I: Python: The Basics

      • Chapter 1 – The Python Workspace
      • Chapter 2 – Object Oriented Programming
      • Chapter 3 – Data Types, Structures, Sets and Algorithms
      • Chapter 4 – Functions: Code that Puts Our Data to Work
      • Chapter 5 – Importing, Creating, and Maintaining Data Files
      • Chapter 6 – Testing and Troubleshooting

      Part II: Further Applications of Python in Information Organizations

      • Chapter 7 – Library Management and Usage Data
      • Chapter 8 – Library Research Data Management
      • Chapter 9 – Text Analysis
      • Chapter 10 – Library and Information Science Research
      • Chapter 11 – Artificial Intelligence Applications

      Part III: Practical and Ethical Considerations for Using Python

      • Chapter 12 – Data Explosion, Big Data, and Data Literacy
      • Chapter 13 – Data Ethics
      • Chapter 14 – Knowledge and Data Economy
      • Chapter 15 – Further Resources for Advancing Your Python Mastery

      Glossary

      Index

      About the Author

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