Brady Lund, Daniel Agbaji, Kossi Dodzi Bissadu

Python for Information Professionals

How to Design Practical Applications to Capitalize on the Data Explosion

• Broschiertes Buch

Produktbeschreibung

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

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Produktdetails

• Verlag: Rowman & Littlefield Publishers
• Seitenzahl: 172
• Erscheinungstermin: 1. November 2023
• Englisch
• Abmessung: 229mm x 152mm x 10mm
• Gewicht: 259g
• ISBN-13: 9781538178256
• ISBN-10: 1538178257
• Artikelnr.: 68284373

Autorenporträt

By Brady Lund; Daniel Agbaji; Kossi Dodzi Bissadu and Haihua Chen

Inhaltsangabe

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