This site partners with the book, Problem Solving with Python: Using Computational Thinking in Everyday Life by Michael D. Smith. You can purchase the book directly from MIT Press or through Amazon.
The book teaches you to problem solve with computation. It is a better way to learn Python programming, including how to code with the help of generative AI. If you have zero background in computer science or the art of computer programming, but you want to learn, you've come to the right place.
The book is not organized like a typical introduction to computer science. It eschews the brutally boring syntax-first approach that has you memorize grammar and punctuation. Instead, it helps you learn to use computation to solve problems that matter to you.
Each chapter in this book is a problem to be solved. As you tackle each problem, you'll learn fundamental concepts of computer science and how to express your ideas in the Python programming language. Problem solving is a process, and through a carefully sequenced set of problems, you'll grow from novice to practitioner. This approach works because ideas and skills stick with you when you immediately see how they're useful.
To dive deeper, I invite you to read the book's Welcome, which you can access through the "Look Inside" button on penguinrandomhouse.com.
If you're an instructor interested in adopting this approach, its book, and my homeworks and programming assignments, please email me. You can find my contact information on my Harvard homepage.
