I have to start this specifying and expanding on what I refer when I say that I'm dyscalculic:

  1. I have both types of developmental dyscalculia.
  2. The functional type of dyscalculia I have is the intermediate dyscalculia; citing the dyscalculia definition page in Edubloxtutor, it's the «inability to work with symbols and numbers, especially when abstract signs (like √, ×, <, >) or large figures are involved. This type often overlaps with conditions like dyspraxia or dyslexia.» I don't have dyslexia though, but idk about the dyspraxia.
  3. I have the lexical and operational forms of dyscalculia. As per Edubloxtutor:
    • Lexical dyscalculia: This subtype refers to difficulties in reading and recognizing mathematical symbols, such as digits or operation signs. Students with this subtype may misread symbols (e.g., confusing a “6” with an “8” or “+” with “×”), which interferes with both understanding and solving problems.
      • I don't have so many difficulties with digits, only when they're either too big or too small, or if they have too many decimals.
    • Operational dyscalculia: Even when students understand the symbols and concepts involved, they may still struggle to carry out the steps of arithmetic operations (like borrowing or carrying in subtraction and addition). Operational dyscalculia reflects a breakdown in the ability to perform calculations in a logical and sequential manner.
  1. My cognitive subtype is the Memory Dyscalculia: «Weaknesses in both working memory and long-term memory, particularly in recalling arithmetic facts, procedures, or sequences.»
  2. I also struggle with ADHD and autism, as well as bipolar disorder, so these four things interact.
  3. I'm confident in that I'm actually really strong in formal logic, although only in natural language, because in symbolic formal logic I'm horrible (and that is to be expected, tho, because I struggle with abstract symbols in general); curiously, or perhaps predictably, and maybe I'm that good in logic because I'm that bad in maths.

So, what I would like to know is, are there any programming languages (or maybe some libraries) that, despite being (or making these not-so-dyscalculic-friendly languages) accesible and not too math-centered (I want to avoid them as much as possible) and with a friendly learning curve, don't sacrifice that much performance, efficiency, lightweightness, security and all that?

I'm particularly obsessed with performance, lightweightness and efficiency because I have a PC that, despite being actually decent (screenshot below), I constantly do hardware-intensive things and I love ricing, customizing and having powerful and featureful tools, but most of them are just so bloated (i.e. most Zettelstaken-style outliners are or written with Electron [or even Tauri], or too bare-bones, and I want both featurefulness AND efficiency, functionality AND lightweightness [I hate Suckless btw]).


Also, I need to know, what are the best tutorials (if they're in Spanish, better, because I only understand well the written English, I struggle with spoken English), courses (same here) and resources in general to learn programming that are dyscalculia-friendly (better if they're explicitly tagged or categorized as such)?

I feel really alienated because most of them do assume that you're idk, Ramanujan, or something like him, at least from my perspective and lived experience, and I'd really love to be able to program my own tools and to be able to contribute to projects I like with features I'd love to see there, and to fork some tainted projects and make an untainted version, etc.


TL;DR:

I have developmental dyscalculia (both functional and cognitive subtypes): intermediate functional (struggles with abstract symbols and large numbers), lexical (misreads math symbols, especially with many decimals or extreme sizes), operational (can't execute sequential arithmetic steps), and memory-based (poor working/long-term recall of arithmetic facts and procedures). I also have ADHD, autism, and bipolar disorder, which all interact. I'm strong in natural-language logic but weak in symbolic logic (expected, given my symbol difficulties).

What I'm asking:

  1. Languages/libraries: Which programming languages or libraries are not math-heavy, have a gentle learning curve, and still deliver good performance, efficiency, and lightweightness? I want to avoid Electron/Tauri bloat and Suckless bare-bones; I want both featureful and efficient.
  2. Learning resources: What tutorials, courses, or resources exist that are explicitly dyscalculia-friendly (or at least don't assume strong number sense)? Spanish is strongly preferred; written English is fine, spoken English is not.

Goal: Build my own tools, contribute features to projects I like, and fork/fix projects that are tainted by AI.


PS: I mean tainted as per OpenSlopware definitions

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[–] 1 point 1 day ago* (last edited 1 day ago) (6 children)

No idea about dyscalculia but most programming languages per se aren't really affected by AI so far. Of course people are using AI to vibe code in every programming language, but that's different.

Python is traditionally considered a good beginning language, and it has Spanish documentation: https://docs.python.org/es/3/

As far as math goes, mathematical logic is an important topic in math, and the type of thinking you need for it is more like language than like geometry. You might like it, who knows.

A lot of programming is about remembering stuff, whether we like that or not. It's possible that if you're good at logic, you might find that Haskell requires you to learn more but remember less, since the Haskell's type system can track stuff for you that Python's can't, so you get reminded right away (at compile time) if you make a mistake. Despite what the partisans say though, it's probably not good for beginners.

The whole Javascript and front end world is a nightmare of crap to remember. I avoid it myself even as a veteran full-time programmer with a good memory. Mobile development is kind of similar.

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  • [–] [S] 1 point 1 day ago (5 children)
  • [–] 5 points 1 day ago (2 children)

    It's unclear what you are hoping for. There is no language that nobody vibe codes in. There is no codebase of any sort that is guaranteed to be forever free of AI code, even if there are policies against it today. The link you posted is about the implementation maintainers' policies, but that shouldn't matter to you if you're just getting started, since you won't be working inside the implementation. If you just want a language that you can start using and that has a wide userbase and Spanish documentation, Python is an obvious choice. Once you're experienced enough to work on an actual implementation, you can always write one that's free of AI.

    For that matter, you could just install an older version of Python from before AI became widespread. There, no AI. You might have to occasionally backport a security fix or something, but since 2023 Python hasn't really changed much. Python 3.10 was released in 2021 and it's still fine. I'm actually using 3.9 on my main workstation right now, due to laziness about upgrades.

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  • [–] [S] 1 point 18 hours ago (1 child)

    What I mean is that the language is itself not vibecoded and/or has a clear anti-AI stance. Look at Zig for example: they ban any and all kind of AI tooling, assistance and all that.

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  • [–] 2 points 17 hours ago

    You can't assume Zig's no-AI policy will stay in place forever. But if you want to use Zig, that's great, I've never used it myself but it sounds cool.

    AI coding is still pretty new, and I'd expect even language codebases that permit it aren't terribly contaminated, for now.

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