Acknowledgments

A Note on AI Collaboration

This book represents a unique collaboration between human expertise and artificial intelligence. In keeping with the book’s central philosophy of “Learning with AI,” the book itself was created using AI as a collaborative partner.

How This Book Was Written

  • Human Direction: All conceptual frameworks, pedagogical approaches, and learning objectives were designed by Michael Borck
  • AI Assistance: Claude (Anthropic) assisted with:
    • Drafting and refining explanations
    • Generating code examples and exercises
    • Ensuring consistency across chapters
    • Developing practice problems and solutions

Transparency and Learning

Just as this book teaches you to work effectively with AI as a learning partner, it was created using the same principles. Every chapter, example, and exercise has been:

  • Carefully reviewed and validated by human expertise
  • Tested for pedagogical effectiveness
  • Refined through iterative human-AI collaboration

This transparent approach to AI collaboration serves as a meta-example of the book’s core message: AI is a powerful tool that, when used thoughtfully with human oversight, can enhance our ability to create, learn, and teach.

Traditional Acknowledgments

Special thanks to: - The Python community for creating such an accessible and powerful language - The educators and researchers exploring AI in education - Early readers and reviewers who provided valuable feedback - You, the reader, for embracing this new approach to learning programming

“In the spirit of the book’s philosophy, this acknowledgment itself was written collaboratively with AI, demonstrating that transparency about AI use enhances rather than diminishes the value of human-AI collaboration.”