Foundations of Software and Data Systems Coding for Python Beginners: A Practical Guide to Programming, Debugging, and AI-Assisted Learning, (Paperback)

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 different

This 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 them

• Write clear, readable Python code that makes sense later

• Debug errors calmly by identifying broken assumptions

• Use conditions, loops, functions, and data structures correctly

• Organize code as programs grow

• Apply object-oriented ideas only when they add clarity

• Use AI tools to explain, review, and practice-without losing control of your learning

AI 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 programs

The book progresses carefully and intentionally:

• Core programming fundamentals explained without jargon

• Practical debugging and error handling from the beginning

• File handling, modular design, and clean structure

• Responsible AI-assisted learning and testing

• Guided projects that combine everything you've learned

• Clear guidance on how to continue learning independently

Each 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 code

• Adult learners returning to technical skills

• Professionals who want a calm, structured foundation