Python Simplified with Generative AI

GenAI and Python are changing how we use technology, making it essential to understand both to stay innovative and work efficiently. GenAI significantly impacts learning Python by generating personalized code snippets, accelerating the learning process. 

This book bridges the gap between traditional education and the practical challenges students encounter today. It combines hands-on learning with modern GenAI tools like GPT-4 and Copilot. It begins with fundamental GenAI concepts, including GPT-4 and Gemini, and mastering prompt engineering for optimal GenAI interaction. Instead of starting with technical details like algorithms and syntax, it introduces coding through interactive, practical Python Jupyter Notebooks and Google Colab projects. Readers will learn Python code with a calculator application, explore fundamental sorting algorithms, and manipulate data using Pandas. The book then explores advanced ML through CNN image classification with Fast.ai, and deploying AI models as web applications using Hugging Face and Gradio. It also addresses critical ethical considerations in AI, focusing on fairness and bias, and provides career guidance for modern programmers. Moreover, this book takes a fresh approach to learning by prioritizing exploration and creativity, much like the way GenZ engage with games, apps, and hands-on activities.

By the end of this book, you will be equipped with the practical skills and ethical understanding to confidently apply Python and GenAI in diverse projects, helping you navigate the evolving landscape of AI-driven development.

WHAT YOU WILL LEARN
● Write and debug Python code through hands-on projects.
● Learn GenAI setup, and effective prompt engineering.
● Step-by-step Python projects using Jupyter Notebooks and GenAI.
● Deploy AI models as interactive web applications using Hugging Face and Gradio frameworks.
● Leverage GenAI tools like GPT-4 and Copilot.
● Understand AI bias and use it responsibly for positive impact.

WHO THIS BOOK IS FOR
This book is for professionals interested in learning Python and using GenAI tools like GPT-4 in practical applications. It is for aspiring programmers, students, and data analysts seeking practical Python and GenAI skills.

1. Introduction to GenAI
2. Jupyter Notebook
3. Dissect The Calculator App
4. Sorting on My Mind
5. Pandas, the Data Tamer
6. Decipher CNN App
7. Gradio and Hugging Face Deployment
8. Fairness and Bias
9. Your Turn to Be a Code Walker

Duc T. Haba, From a researcher at Xerox PARC, Oracle, RRKidz, and Cognizant to becoming a founder of mobile and AI startups, Duc T. Haba is a world-class AI thought leader and Chief AI Officer. With 30+ years in software, a Marquis Who’s Who Honoree in 2024, an AI book author (two published books), and an AI lecturer and teacher, Duc is well-known in the Silicon Valley as a technology entrepreneurial veteran featured on Apple News in Feb. 2025.

Ashley R. Haba is a senior Communication major at Santa Clara University with the goal of learning something new each day. She is minoring in Creative Writing and has a love for poetry and short-form fiction. Moreover, she enjoys knitting, weightlifting, and trying new foods. With a penchant for writing, Ashley has written over a hundred flash fiction stories and poems centered around mental health and overcoming trauma. Currently, she is working on a series of linked stories and can be found writing plenty of flash fiction pieces.

Evan M. Haba is currently attending his second year at the University of San Francisco, majoring in Computer Science. He really enjoys swimming and is on his school’s water polo club team. Moreover, he loves working on projects with GenAI, and has recently participated in a DEPLOY/24 hackathon where he used GenAI as a part of his projects.