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Coding for Python Beginners: A Practical Guide to Programming, Debugging, and AI-Assisted Learning (Foundations of Software and Data Systems in the
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- Learn Python the right way—with clarity, judgment, and modern tools.Most beginner programming books promise speed. They rush through syntax, encourage copying, and leave readers dependent on tutorials or AI-generated answers they don’t fully understand.Coding for Python Beginners takes a different approach.This book is designed to help you think clearly about programming, understand how Python actually works, and build programs you can explain, debug, and trust—while using AI tools responsibly as learning support, not as replacements for understanding.Python is an excellent first language because it reveals structure instead of hiding it. This book uses that strength to teach programming as a skill of reasoning: how logic flows, how mistakes happen, and how to fix them with confidence.What makes this book differentThis is not a “learn Python fast” book. It is a thinking-first guide that prioritizes understanding over shortcuts.You will learn how to:Understand what programs do before you run themWrite clear, readable Python code that makes sense laterDebug errors calmly by identifying broken assumptionsUse conditions, loops, functions, and data structures correctlyOrganize code as programs growApply object-oriented ideas only when they add clarityUse AI tools to explain, review, and practice—without losing control of your learningAI is treated as a supporting tool, not an authority. You will learn when it helps, when it misleads, and how to verify everything.A structured path from first code to real programsThe book progresses carefully and intentionally:Core programming fundamentals explained without jargonPractical debugging and error handling from the beginningFile handling, modular design, and clean structureResponsible AI-assisted learning and testingGuided projects that combine everything you’ve learnedClear guidance on how to continue learning independentlyEach chapter builds on the previous one, reinforcing understanding instead of overwhelming you with features.This book is ideal for:Beginners who want real understanding, not just working codeAdult learners returning to technical skillsProfessionals who want a calm, structured foundationReaders using AI tools and wanting to stay in controlThis book is not for readers looking for instant results, shortcuts, or copied solutions.Build skills that last beyond tools and trendsProgramming languages change. Tools evolve. AI improves rapidly.The ability to reason, debug, and verify does not.If you want to learn Python with clarity, confidence, and long-term value, this book is your starting point.Order now and begin building understanding that lasts.
| Publisher | Independently published |
| Publication date | December 21, 2025 |
| Language | English |
| Print length | 232 pages |
| ISBN-13 | 979-8279308743 |
| Item Weight | 1.22 pounds (550 grams) |
| Dimensions | 8.5 x 0.53 x 11 inches (21.6 x 1.3 x 27.9 cm) |
| Part of series | Foundations of Software and Data Systems in the AI Era |
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Coding for Python Beginners: A Practical Guide to Programming, Debugging, and AI-Assisted Learning (Foundations of Software and Data Systems in the AI Era)
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