[k2xl]

Clean code isn't always the most efficient code, but I think that's fine. Many times in my career I've found that you don't always need the most optimal, efficient, and performant solution to get the job done, and that sometimes you need to sacrifice those attributes for clear, readable, understandable code. Good architecture usually supercedes speed of individual algorithms. Hence why you see almost every major language under the sun has been used at scale.

I remember when looking into neural nets, the basic python code to get one running was super easy for me to understand. However, I also realize that the optimal, most efficient methods of neural network libraries are way more complicated (and for good reason).