I'm currently reading Machine Learning Design Patterns
I'm not reading this end-to-end, but the Machine Learning with Python Cookbook
is one book I recommend to lots of people exploring ML with Python. I find it's a good place to start if you're looking for high quality code with explanations.
Finally, I read an introduction to Clojure closer to the start of 2020... I haven't spent much time with Clojure or other Lisp variants but find them fascinating. The idea of "code as data" is something I feel is underutilized in data science and ML.