Learning to Code Later: Confidence and Skills for Information Professionals
Autor Austin Strouden Limba Engleză Paperback – 13 mai 2027
Would your job be easier if you could automate tedious tasks, clean up messy data, or understand how digital systems really work? Learning to Code Later shows information professionals how to use simple, approachable programming techniques to do just that-without needing a computer science background.
Drawing from original research on technology instruction in MLIS programs and stories from late-start learners across libraries, this guide centers confidence, demystifies core concepts, and connects coding to real-world library tasks. Whether you are batch-renaming files, cleaning metadata, or dreaming bigger, you'll find encouragement and practical tools to start where you are-and grow where you want to be.
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Specificații
ISBN-13: 9798216397267
Pagini: 176
Ilustrații: 12 bw illus
Dimensiuni: 156 x 235 x 10 mm
Greutate: 0.26 kg
Editura: Bloomsbury Publishing
Colecția Bloomsbury Libraries Unlimited
Locul publicării:New York, United States
Pagini: 176
Ilustrații: 12 bw illus
Dimensiuni: 156 x 235 x 10 mm
Greutate: 0.26 kg
Editura: Bloomsbury Publishing
Colecția Bloomsbury Libraries Unlimited
Locul publicării:New York, United States
Cuprins
List of Illustrations
Acknowledgements
Preface
1. Introduction: You Don't Need a Tech Background to Get Started
2. Why Programming? A Professional's Perspective
3. What's Really Holding Us Back: Fear, Assumptions, and Self-Doubt
4. Mindset and Motivation: Building Self-Efficacy
5. Tech Terms Demystified: What Even Is Code?
6. Gentle Beginnings: High-Level Programming Languages, Logic, and Tools for LIS Professionals
7. AI and Coding: Working Smarter with New Tools
8. Small Wins: Simple Projects with Big Payoffs
9. Learning On Your Own (and Not Alone): Resources and Support Networks
10. The Workplace: Advocating for Time, Training, and Confidence
11. What Comes Next? Building a Sustainable Learning Plan
12. Conclusion: Returning to the Beginning
Appendices
Appendix A: Glossary of Common Python Programming Terms
Appendix B: Starter Code Templates (Conceptual)
Appendix C: AI Prompt Examples for Learning Support
Appendix D: Curated Learning Resources
Appendix E: Learning Worksheets
Appendix F: Quick Reference Guides
Appendix G: Building Your Personal Toolkit
Index
About the Author
Acknowledgements
Preface
1. Introduction: You Don't Need a Tech Background to Get Started
2. Why Programming? A Professional's Perspective
3. What's Really Holding Us Back: Fear, Assumptions, and Self-Doubt
4. Mindset and Motivation: Building Self-Efficacy
5. Tech Terms Demystified: What Even Is Code?
6. Gentle Beginnings: High-Level Programming Languages, Logic, and Tools for LIS Professionals
7. AI and Coding: Working Smarter with New Tools
8. Small Wins: Simple Projects with Big Payoffs
9. Learning On Your Own (and Not Alone): Resources and Support Networks
10. The Workplace: Advocating for Time, Training, and Confidence
11. What Comes Next? Building a Sustainable Learning Plan
12. Conclusion: Returning to the Beginning
Appendices
Appendix A: Glossary of Common Python Programming Terms
Appendix B: Starter Code Templates (Conceptual)
Appendix C: AI Prompt Examples for Learning Support
Appendix D: Curated Learning Resources
Appendix E: Learning Worksheets
Appendix F: Quick Reference Guides
Appendix G: Building Your Personal Toolkit
Index
About the Author
Recenzii
For those who have always been interested in coding but never felt confident enough to start, this book is for you. The personal narratives and case studies are sure to leave you thinking 'yes, I can master this!'
Stroud treats professional experience as an asset in learning to code. Learning to Code Later combines manageable projects with practical guidance on securing the time, training, and workplace support adults need to keep learning. His emphasis on understanding code and testing AI-generated suggestions keeps professional judgment central to technical learning. I recommend the book to information professionals and to the educators and library leaders responsible for supporting their development.
Stroud treats professional experience as an asset in learning to code. Learning to Code Later combines manageable projects with practical guidance on securing the time, training, and workplace support adults need to keep learning. His emphasis on understanding code and testing AI-generated suggestions keeps professional judgment central to technical learning. I recommend the book to information professionals and to the educators and library leaders responsible for supporting their development.
Notă biografică
Austin Stroud is a lecturer in the Department of Library and Information Science at Indiana University Indianapolis and previously taught a variety of programming and non-programming coursework at Ivy Tech Community College, University of Kentucky, Valdosta State University, and University of Wisconsin-Madison. Prior to working in higher education, he spent nearly 10 years as a public library director. He holds a 2025 Ph.D. in information studies from Dominican University with a dissertation that focused on the use and instruction of high-level programming languages in online ALA-accredited MLIS programs. Austin previously completed a master's in library science from Indiana University Indianapolis, a master's in education with a major in instructional systems technology and a bachelor's in labor studies from Indiana University, and an associate's in software development from Ivy Tech Community College. Besides his dissertation, he has authored multiple peer-reviewed articles and has more pending publication. Austin also serves on the editorial board for Public Library Quarterly and serves as a copyeditor for Information Research.