How Do I Approach a Refining Book?

The book is not project based. I'm not trying to go like, oh, let's now build an agent to do the stock market because not everybody cares about the stock market. My intention behind the book was to kind of distill the basics of reinforcement learning so that you can go and then apply it to your particular problem. Every single little code snippet in the book is in the GitHub repository. All the code is there in one notebook. You play from top to bottom and you run. And then my advice is go after one chapter and then think of what I can, what can I do if we really want to learn it?