>Mathematics and programming are not really all that related to each other and I think there's an overemphasis on the importance of math in programming for 99%

>Mathematics and programming are not really all that related to each other and I think there's an overemphasis on the importance of math in programming for 99% of applications. This is the standard thinking of someone who's not deep into math but deep into programming. The two are deeply interrelated and in actuality are one in the same. Knowing math provides deeper understanding of programming. If you want to get better at programming in general, learning every new frameworks or specific technologies is not the path to getting better. Learning math is the path. I cannot show you the path for you to understand it, you'll have to walk it yourself to know. Suffice to say that there is an area of math that improves programming in a way you can understand. Type checking. Type checking proves that your program is type correct, it comes from math. You know it, and probably use it all the time. To extend this, there's this concept of dependent types which also come from math. Dependent types can prove your entire program correct. That's right with math you can write a single proof which is equivalent to billions of unit tests that touch the entire domain of test cases, to prove your program 100% correct. It's a powerful feature that comes from math. It's in the upper echelons of programming theory / mathematical theory and thus not trivial to learn. If you're interested you can check out the languages: Coq, agda or idris.