Okay. I've built it.
It is more math heavy than Chemical and Biomedical heavy. Many chapters and exercises can be wholly devoid of Chemical or Biomedical applications.
I'd say it's more of a "maths you might use in Chemical and Biomedical applications" book.
For the sake of answering my own question, there is one Exercise that deals with a narrow application of protein folding, specifically, forced protein unfolding, in Chapter 3 Differentiation.
The book contains lots of code to use.
Significant focus on using libraries: scipy, numpy, et al; rather than rolling one's own implementation leans it toward high level application knowledge rather than low level intuitive understanding of the mathematical concepts it contains[1].
The exercises come with excellent and thorough solutions.
[1] for the low level roll your own intro to the maths in this book try: Learn Physics with Functional Programming, https://www.lpfp.io/
It is more math heavy than Chemical and Biomedical heavy. Many chapters and exercises can be wholly devoid of Chemical or Biomedical applications.
I'd say it's more of a "maths you might use in Chemical and Biomedical applications" book.
For the sake of answering my own question, there is one Exercise that deals with a narrow application of protein folding, specifically, forced protein unfolding, in Chapter 3 Differentiation.
The book contains lots of code to use.
Significant focus on using libraries: scipy, numpy, et al; rather than rolling one's own implementation leans it toward high level application knowledge rather than low level intuitive understanding of the mathematical concepts it contains[1].
The exercises come with excellent and thorough solutions.
[1] for the low level roll your own intro to the maths in this book try: Learn Physics with Functional Programming, https://www.lpfp.io/