Sie sind bereits eingeloggt. Klicken Sie auf 2. tolino select Abo, um fortzufahren.
Bitte loggen Sie sich zunächst in Ihr Kundenkonto ein oder registrieren Sie sich bei bücher.de, um das eBook-Abo tolino select nutzen zu können.
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…mehr
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: Develop Python applications for the retrieval, cleaning, and analysis of large datasets. Design applications to support traditional library functions and create new opportunities to maximize library value. Consider data security and privacy relevant to data analysis when using the Python language.
Die Herstellerinformationen sind derzeit nicht verfügbar.
Autorenporträt
Brady Lund, Ph.D., is an assistant professor of information science at the University of North Texas. He has published four books related to technology in libraries and educational institutions - including Casting Light on the Dark Web and Creating Accessible Online Instruction Using Universal Design Principles, both for Rowman and Littlefield Publishing - and nearly 100 articles, editorials, and opinion papers. His work often combines data analytics principles with library and information science research topics. Daniel Agbaji is a Ph.D. student in information science at the University of North Texas, with a major in Data Science-Artificial Intelligence and Machine Learning. As an experienced researcher and software developer, he has written scholarly publications and book chapters with notable publishers. Daniel has published articles in the information science and library field. As a software developer, Daniel has written thousands of lines of code for fortune 500 companies which are not publicly available due to company policies.
Inhaltsangabe
Preface Part I: Python: The Basics Chapter 1 - The Python WorkspaceChapter 2 - Object Oriented ProgrammingChapter 3 - Data Types, Structures, Sets and AlgorithmsChapter 4 - Functions: Code that Puts Our Data to WorkChapter 5 - Importing, Creating, and Maintaining Data FilesChapter 6 - Testing and TroubleshootingPart II: Further Applications of Python in Information Organizations Chapter 7 - Library Management and Usage DataChapter 8 - Library Research Data ManagementChapter 9 - Text AnalysisChapter 10 - Library and Information Science ResearchChapter 11 - Artificial Intelligence ApplicationsPart III: Practical and Ethical Considerations for Using Python Chapter 12 - Data Explosion, Big Data, and Data LiteracyChapter 13 - Data EthicsChapter 14 - Knowledge and Data EconomyChapter 15 - Further Resources for Advancing Your Python Mastery Glossary Index About the Author
Preface Part I: Python: The Basics Chapter 1 - The Python WorkspaceChapter 2 - Object Oriented ProgrammingChapter 3 - Data Types, Structures, Sets and AlgorithmsChapter 4 - Functions: Code that Puts Our Data to WorkChapter 5 - Importing, Creating, and Maintaining Data FilesChapter 6 - Testing and TroubleshootingPart II: Further Applications of Python in Information Organizations Chapter 7 - Library Management and Usage DataChapter 8 - Library Research Data ManagementChapter 9 - Text AnalysisChapter 10 - Library and Information Science ResearchChapter 11 - Artificial Intelligence ApplicationsPart III: Practical and Ethical Considerations for Using Python Chapter 12 - Data Explosion, Big Data, and Data LiteracyChapter 13 - Data EthicsChapter 14 - Knowledge and Data EconomyChapter 15 - Further Resources for Advancing Your Python Mastery Glossary Index About the Author
Es gelten unsere Allgemeinen Geschäftsbedingungen: www.buecher.de/agb
Impressum
www.buecher.de ist ein Internetauftritt der buecher.de internetstores GmbH
Geschäftsführung: Monica Sawhney | Roland Kölbl | Günter Hilger
Sitz der Gesellschaft: Batheyer Straße 115 - 117, 58099 Hagen
Postanschrift: Bürgermeister-Wegele-Str. 12, 86167 Augsburg
Amtsgericht Hagen HRB 13257
Steuernummer: 321/5800/1497
USt-IdNr: DE450055826