Literature on Design/Architecture for computational applications [closed]

I have been struggling to find literature regarding how to structure a program whose main function is to calculate something; fitting data, simulating data, numerical calculations, machine learning model building and deployment, etc. (On ML I have found references but not so much the rest).

What would be of practical use is guidance on how to even do something simple. For example, what do I want to be thinking about for a computation that will only run on one machine, maybe not even automated. In other words, a ground-up approach before diving into how to translate things to a large scale would be most instructive.

For context, I am a self-taught programmer and I can write programs for any of the topics I mention and get the job done, but I don't have a good idea of if I'm doing it well from design/architecture point of view. For a concrete example, I rarely use classes, and it has never been a roadblock, but at the same time I know that means there are plenty of tools that could make my work better that I am blind to.