• Inky@lemmy.ca
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    1 year ago

    This post confuses me. Why would code be simpler than the math notation? Both involve symbolic abstraction of basically the same complexity

    • hglman@lemmy.ml
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      1 year ago

      Its got to be a relatively small group who knows enough to understand loops and is also afraid of math symbols.

      • DogMuffins@discuss.tchncs.de
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        1 year ago

        Maybe not so small?

        I never encountered these math symbols but for loops are like step 3 in any programming language after variables and conditionals

        • stoneparchment@possumpat.io
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          1 year ago

          lol, like 2.5% of the USA are programmers and even if we say twice that number have experimented and taken programming classes, that’s like 1 in 20 people who would even have ever encountered a for loop. This nsf report says ~70% of highschoolers have taken Algebra 2 or a more advanced math course, which is when sum notation is usually introduced. I think 70% is a little greater than 5%!

          • BeautifulMind ♾️@lemmy.world
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            1 year ago

            That’s interesting to hear; somehow my algebra 2 skipped sum notation (and it wasn’t remedially covered in subsequent math classes) but I’ve been writing code for decades now and seeing it in code totally explains the sum notation for me

          • AnarchistArtificer@slrpnk.net
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            1 year ago

            I was great at maths in school, was in all the advanced classes and I found it so fun it didn’t feel like work to me. I learned a lot of the notation, but because I didn’t study maths further, I became rusty. With programming, I never really learned it, I just kept coming into contact with it as part of my post university work (in science), and gradually, I picked up some basics. The coding basics I did get feel much more familiar to me than the maths concepts now, because I literally couldn’t avoid coming into contact with coding in my work.

            The maths they teach in school also is generally very pure maths, and that can make the concepts remain quite abstract. Matrices, for example, made way more intuitive sense to me when I used them as a scientist than when they were taught to me as a maths student.

      • karstin@lemmy.world
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        1 year ago

        I’m in that group I think. I do like a liiitle bit of coding in some tiny specific progrqmming language in one piece of software that I use. I understand the basics but try to avoid having to do it. But while code is a little scary to me, math is much scarier lol

      • Choco1ateCh1p@lemmy.world
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        1 year ago

        I believe this group could be bigger than some may think. I, and the team I work with, work with for loops similar to these on a regular basis. And only one of us has a bachelor’s degree in math. The rest of us don’t really understand the math unless it is applied.

    • AnarchistArtificer@slrpnk.net
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      1 year ago

      I’m a subscriber to her YouTube(one of my favourite videos of hers) and she has a bunch of videos aimed at helping game developers learn the maths concepts they need for making games, so her audience is mostly people with a coding background, I’m guessing.

      So it’s less that code is simpler than math notation, more that the maths notation looks scary to people without a maths background, but here’s a link to a different complex symbolic abstraction that you might already know

    • GTG3000@programming.dev
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      1 year ago

      Math notation is just terrible in general because a lot of it is shorthand made up by someone who likes single-letter variables. A symbol you can’t type, something above, something below.

      A for loop is clear and descriptive.
      Or if you’re feeling fancy, you could go functional with reduce(add, range(0, 5), 0).

      • Inky@lemmy.ca
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        1 year ago

        Mathematical notation was designed to be written by hand. It is at least as clear and descriptive as any syntax from a programming language. You’re pretending that the abstraction behind a for loop is somehow less than that behind a sum or product notation.