Math is a language, code is instruction. The language of math is geared toward efficiency and viability for abstractions a layer higher (ad infinitum). Once you are familiar with the language, the symbols take a life of their own, and their manipulation becomes almost mechnical, which reduces the cognitive cost for your mind to operate at the current level of abstraction, so you can focus your mental power on the next level of abstraction, and try to figure out something novel. You can of course unpack the compact language of math into the more plain – in a sense more “flat” – form of code instructions; the purpose is different: its more about implementing ideas than creating the ideas in the first place.
Math is a language, code is instruction. The language of math is geared toward efficiency and viability for abstractions a layer higher (ad infinitum). Once you are familiar with the language, the symbols take a life of their own, and their manipulation becomes almost mechnical, which reduces the cognitive cost for your mind to operate at the current level of abstraction, so you can focus your mental power on the next level of abstraction, and try to figure out something novel. You can of course unpack the compact language of math into the more plain – in a sense more “flat” – form of code instructions; the purpose is different: its more about implementing ideas than creating the ideas in the first place.