> Converting math into code is extremely easy. Converting code back into math is the thing to optimize for. Yes and that's what programming languages like APL

> Converting math into code is extremely easy. Converting code back into math is the thing to optimize for. Yes and that's what programming languages like APL do. Whole algorithms for manipulating equations represented as matrices can be groked with just a few symbols. At least to my mind, it's a very efficient way to write code, at least for domains that fit this model. I learned APL in the mid '70s in high school. The math department offered it as an option to those of us learning linear algebra. One course reinforced the lessons from the other. Those of us in the APL course found ways to solve other problems not directly related to linear algebra, and we marveled at how compact the code was (especially compared to Basic, which a friend and I had learned the year before).