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Description
Addressing mindset, motivation, and myths, this book meets readers where they are to build a confidence-first approach before the first line of code.
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.
Accessibility Information
Additional accessibility information
- PDF/UA-2, 1.4
- accessibility@bloomsbury.com
Hazards
The publication contains no hazards
Support for non-visual reading
Has alternative text descriptions for images
Navigation
- Page list to go to pages from the print source version
- Elements such as headings, tables, etc for structured navigation
- All or substantially all textual matter is arranged in a single logical reading order
Table of Contents
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
Product details
| Published | 15 Apr 2027 |
|---|---|
| Format | Ebook (PDF) |
| Edition | 1st |
| Pages | 176 |
| ISBN | 9798216397281 |
| Imprint | Bloomsbury Libraries Unlimited |
| Illustrations | 12 bw illus |
| Publisher | Bloomsbury Publishing |
About the contributors
Reviews
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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!'
Brady D. Lund, Assistant Professor of Information Science, University of North Texas, USA and Author of Python for Information Professionals and Artificial Intelligence for Libraries
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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.
Witt Salley, Ed.D., M.L.I.S., Public Librarian and Digital Learning Educator, USA

























