Math, Programming, and Language Learning
An anonymous reader writes: There's often debate amongst modern programmers about how much math a professional developer should know, and to what extent programming is math. Learning to program is often viewed as being on a spectrum between learning math and learning spoken/written languages. But in a new article, Jeremy Kun argues that the spectrum should be formulated another way: Human language -> Mathematics -> Programming. "Having studied all three subjects, I'd argue that mathematics falls between language and programming on the hierarchy of rigor. ... [T]he hierarchy of abstraction is the exact reverse, with programming being the most concrete and language being the most abstract. Perhaps this is why people consider mathematics a bridge between human language and programming. Because it allows you to express more formal ideas in a more concrete language, without making you worry about such specific hardware details like whether your integers are capped at 32 bits or 64. Indeed, if you think that the core of programming is expressing abstract ideas in a concrete language, then this makes a lot of sense. This is precisely why learning mathematics is 'better' at helping you learn the kind of abstract thinking you want for programming than language. Because mathematics is closer to programming on the hierarchy. It helps even more that mathematics and programming readily share topics."
The problem with all the articles like this is that they're either written by people who did take math or didn't, and in either case both believe their side is right. The article is clearly written by someone who took a lot of math so, surprise, he thinks math is good for programmers. But I took nothing past Calculus (and have never professionally used even Trigonometry), and I'm a successful programmer, so I think math is unecessary.
Until someone actually does a study on this, it's all gonna come down to "the way I did it was better" ... and that's just noise.
Programming is mathematics, it is the application of decision and discrete mathematics. Not all mathematics is infinitesimal calculus (there are different kinds of calculus), algebra or geometry.
Proficiency in mathematics for the most part has little to do with being able to learn a programming language. This much I agree with. However, proficiency in mathematics does provide a strong indicator as to what you will be capable of doing with those languages. You may not be performing Calculus or manipulating matrices in the software that you write but the skills that provide an aptitude for performing such math are very much relatable to software development. Such skills include, abstraction, visualization, and logic to name a few.
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Math IS sequencing. So is using recipes. That is how math works.
Math is a language. Just because you can frame things in that language doesn't mean that that language is necessary. Recipes are often in English. English is sequencing (words are a serial stream after all). That doesn't mean English is necessary for programming (there seem to many competent non-english speaking programmers as far as I can tell).
Disclaimer: I am a professional research mathematician; I do understand math just fine.
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In the real world the picking order is more like:
1. Rich parents / Male who is excellent at a popular sport
2. Prestigious law degree
3. Prestigious MBA
4. Good salesman and good at golf
5. Economics/Law majors/MBAs who got into strategic/management connsulting
6. (The rest)