Two ways to use the book
Generally speaking, there are two ways to learn this book: read the book and learn Python by yourself, or learn Python in a classroom setting. For a beginner, going slow is a better strategy, such as spending two weeks per chapter except Chapter 8, Statistical Analysis of Time Series, which needs at least three weeks. Professionals with basic programming experience of another computer language could go through the first few chapters relatively quickly and move to more advanced topics (chapters). They should focus on option theory, implied volatility and measures of volatility, and GARCH models. One feature of this book is that most chapters after Chapter 3, Using Python as a Financial Calculator, are loosely connected. Because of this, after learning the first three chapters in addition to Chapter 5, Introduction to Modules, readers could jump to the chapters they are interested in.
On the other hand, the book is ideal to be used as a textbook for Financial Modeling using Python or simply Python for finance courses to master degree students in the areas of quantitative finance, computational finance, or financial engineering. The amount of content of the book and expected effort needed is suitable for one semester. The students could be senior undergraduate students with a reduced depth. To teach undergraduate students, the last chapter should be dropped.
