TL;DR

I started reading through Think Bayes.

Think Bayes is an interesting book by Allen B. Downey. The title does not try to hide it: it’s about Bayesian statistics, which is a topic that I keep coming back to from time to time. Like when you often do the same dream, you know?

In the words of the author (or, at least, of the page about it):

Think Bayes is an introduction to Bayesian statistics using computational methods.

Think Bayes is a Free Book. It is available under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0), which means that you are free to copy and modify it, as long as you attribute the work and don’t use it for commercial purposes.

Although there’s Think Bayes 2e (i.e. second edition) available, I’m still reading through the first edition at Think Bayes because it’s a bit easier for me to follow with the code.

Code examples are in plain Python in the first edition, but leverage a few frameworks in the second. As my goal would be to try those examples in Raku instead, so that I can learn it a bit more, I find it easier to adapt the plain Python code. So it’s an occasion to do some double learning - hoping they will not thwart each other.

The author also provides other freely available books through Green Tea Press, so go check them out!