, Python for
Information
Professionals
How to Design Applications to
Capitalize on the Data Explosion
Brady D. Lund
Daniel Agbaji
Kossi Dodzi Bissadu
Haihua Chen
ROWMAN & LITTLEFIELD
Lanham • Boulder • New York • London
,Acquisitions Editor: Charles Harmon
Acquisitions Assistant: Lauren Moynihan
Sales and Marketing Inquiries:
Credits and acknowledgments for material borrowed from other sources, and
reproduced with permission, appear on the appropriate pages within the text.
Published by Rowman & Littlefield
An imprint of The Rowman & Littlefield Publishing Group, Inc.
4501 Forbes Boulevard, Suite 200, Lanham, Maryland 20706
www.rowman.com
86-90 Paul Street, London EC2A 4NE
Copyright © 2024 by The Rowman & Littlefield Publishing Group, Inc.
All rights reserved. No part of this book may be reproduced in any form or by any
electronic or mechanical means, including information storage and retrieval systems,
without written permission from the publisher, except by a reviewer who may quote
passages in a review.
British Library Cataloguing in Publication Information Available
Library of Congress Cataloging-in-Publication Data
Names: Lund, Brady, 1994– author. | Agbaji, Daniel, author. | Bissadu, Kossi Dodzi,
author. | Chen, Haihua, author.
Title: Python for information professionals : how to design practical applications to
capitalize on the data explosion / Brady Lund, Daniel Agbaji, Kossi Dodzi Bissadu,
Haihua Chen.
Description: Lanham : Rowman & Littlefield Publishers, [2024] | Includes
bibliographical references and index.
Identifiers: LCCN 2023031250 (print) | LCCN 2023031251 (ebook) | ISBN
9781538178249 (cloth) | ISBN 9781538178256 (paperback) | ISBN 9781538178263
(ebook)
Subjects: LCSH: Python (Computer program language) | Libraries—Data processing.
Classification: LCC Z678.93.P98 L86 2024 (print) | LCC Z678.93.P98 (ebook) | DDC
025.00285—dc23/eng20231013
LC record available at https://lccn.loc.gov/2023031250
LC ebook record available at https://lccn.loc.gov/2023031251
The paper used in this publication meets the minimum requirements of American
National Standard for Information Sciences—Permanence of Paper for Printed Library
Materials, ANSI/NISO Z39.48-1992.
, Contents
Preface v
Part I: Python: The Basics
Chapter 1: The Python Workspace 3
Chapter 2: Object-Oriented Programming 13
Chapter 3: Data Types, Structures, Sets, and Algorithms 27
Chapter 4: Functions: Code That Puts Our Data to Work 37
Chapter 5: Importing, Creating, and Maintaining Data Files 47
Chapter 6: Testing and Troubleshooting 57
Part II: Further Applications of
Python in Information Organizations
Chapter 7: Library Management and Usage Data 69
Chapter 8: Library Research Data Management 81
Chapter 9: Text Analysis 91
Chapter 10: Library and Information Science Research 101
Chapter 11: Artificial Intelligence Applications 111
Part III: Practical and Ethical Considerations for Using Python
Chapter 12: Data Explosion, Big Data, and Data Literacy 121
Chapter 13: Data Ethics 129
iii
Information
Professionals
How to Design Applications to
Capitalize on the Data Explosion
Brady D. Lund
Daniel Agbaji
Kossi Dodzi Bissadu
Haihua Chen
ROWMAN & LITTLEFIELD
Lanham • Boulder • New York • London
,Acquisitions Editor: Charles Harmon
Acquisitions Assistant: Lauren Moynihan
Sales and Marketing Inquiries:
Credits and acknowledgments for material borrowed from other sources, and
reproduced with permission, appear on the appropriate pages within the text.
Published by Rowman & Littlefield
An imprint of The Rowman & Littlefield Publishing Group, Inc.
4501 Forbes Boulevard, Suite 200, Lanham, Maryland 20706
www.rowman.com
86-90 Paul Street, London EC2A 4NE
Copyright © 2024 by The Rowman & Littlefield Publishing Group, Inc.
All rights reserved. No part of this book may be reproduced in any form or by any
electronic or mechanical means, including information storage and retrieval systems,
without written permission from the publisher, except by a reviewer who may quote
passages in a review.
British Library Cataloguing in Publication Information Available
Library of Congress Cataloging-in-Publication Data
Names: Lund, Brady, 1994– author. | Agbaji, Daniel, author. | Bissadu, Kossi Dodzi,
author. | Chen, Haihua, author.
Title: Python for information professionals : how to design practical applications to
capitalize on the data explosion / Brady Lund, Daniel Agbaji, Kossi Dodzi Bissadu,
Haihua Chen.
Description: Lanham : Rowman & Littlefield Publishers, [2024] | Includes
bibliographical references and index.
Identifiers: LCCN 2023031250 (print) | LCCN 2023031251 (ebook) | ISBN
9781538178249 (cloth) | ISBN 9781538178256 (paperback) | ISBN 9781538178263
(ebook)
Subjects: LCSH: Python (Computer program language) | Libraries—Data processing.
Classification: LCC Z678.93.P98 L86 2024 (print) | LCC Z678.93.P98 (ebook) | DDC
025.00285—dc23/eng20231013
LC record available at https://lccn.loc.gov/2023031250
LC ebook record available at https://lccn.loc.gov/2023031251
The paper used in this publication meets the minimum requirements of American
National Standard for Information Sciences—Permanence of Paper for Printed Library
Materials, ANSI/NISO Z39.48-1992.
, Contents
Preface v
Part I: Python: The Basics
Chapter 1: The Python Workspace 3
Chapter 2: Object-Oriented Programming 13
Chapter 3: Data Types, Structures, Sets, and Algorithms 27
Chapter 4: Functions: Code That Puts Our Data to Work 37
Chapter 5: Importing, Creating, and Maintaining Data Files 47
Chapter 6: Testing and Troubleshooting 57
Part II: Further Applications of
Python in Information Organizations
Chapter 7: Library Management and Usage Data 69
Chapter 8: Library Research Data Management 81
Chapter 9: Text Analysis 91
Chapter 10: Library and Information Science Research 101
Chapter 11: Artificial Intelligence Applications 111
Part III: Practical and Ethical Considerations for Using Python
Chapter 12: Data Explosion, Big Data, and Data Literacy 121
Chapter 13: Data Ethics 129
iii
