I find real-world examples help grasp concepts for me. I’ll use an example like a video platform (like Youtube) as an example for this:

One-to-one: for each one User, you maybe only allow one [content] Channel (or, could be one-or-none, meaning a User may have one Channel, or may use use their User account to be a viewer and have no Channel. You might decide to change this later to be one-to-many, but for the example let’s say you don’t). All the data could be stored just on the User entity, but maybe you decided to separate it into two tables so you don’t need to query the User entity which has sensitive info like a password, email, or physical address, when you just need a Channel. For each Channel, there is a foreign key pointing to the (owning_)user_id, and this is “unique”, so no duplicate id’s can exist in this column.

One-to-many (or Many-to-one): for each one Channel, there may be many Videos. You could use a relational table (channel_x_video), but this isn’t necessary. You can just store the (owning_)channel_id on the Video, and it will not be unique like the prior example, since a Channel will have many Videos, and many Videos belong to one Channel. The only real difference between “one-to-many” and “many-to-one” is semantic - the direction you look at it.

Many-to-many: many Users will watch many Videos. Maybe for saving whether a Video was watched by a User, you store it on a table (by the way, this example might not be the best example, but I was struggling to find a good example for many-to-many to fit the theme). Although each video-to-user relation may be one-to-one, many Videos will be watched by one User, and many Users will watch one Video. This would be not possible to store on both the Video or the User tables, so you will need a relational table (video_x_user, or include “watched” in the table name for clarity of purpose). The id column of each row is irrelevant, but each entry will need to store the video_id and the user_id (and neither will be unique), as well as maybe the percent watched as a float, the datetime it was watched, etc. Many-to-many relationships get very complicated often, so should be used carefully, especially when duplicate combinations of a_x_b can occur (here, we shouldn’t store a new row when a user watches a video a second time)

That’s how languages should all work?

While I agree, should be is not is. Also, Javascript is still a widely used and favored language, despite it’s flaws.

Sometimes people need to be convinced that there’s something better, hence all the articles of “Javascript devs discovering actual typing”, as you mentioned. Although it seems like the author already knew there’s better (I see Typescript and Rust on their Github), that they were just sharing Gleam.

As for specifically Gleam, I will say it’s a very nice language. Very simple to understand (with one minor exception: I personally find the use keyword is a bit odd), strong typing, no collections of mysterious symbols (cough, Haskell), no metaprogramming, no lifetimes, no borrowing, no unclear polymorphism, no pointers, no nonsense. I like it, and am excited to see it grow

To be fair, all three can probably do what you’re asking for, in building a desktop application. So the real question comes as which flavor of language do you want to write. The only language of the three I can’t speak on is Ruby, as I haven’t used it.

Python is a “scripting language”, but by that token technically so is Javascript. It’s an immensely popular language due to its simple syntax, yet complex features as you get better with it. Python can build large-ish applications: web apps, desktop apps, terminal apps, and yes also of course AI, bulk data processing, etc. For GUI applications, I’ve personally used pyqt (4? 5? 6?)

Much of the same can be said for Javascript. As you said, there are “negative opinions” about JS, but everyone has their opinions (most factually-based) on the goods and bads of languages (although, yes, JS does get more negative opinions than others). Yet, Javascript is still a widely used language, and you’ll probably end up needing learning it anyway if you decide to go into web development.

What I personally suggest is this:

• See the learn x in y minutes pages for Python, Javascript, and Ruby. Make sense of the quick-tour of the languages.
• Make a simple project using each of the three languages. Something that just reads something from STDIN, does some work, prints stuff, as an example. This helps you get to know the basics of the syntax, tooling, and quirks of a language, and helps you narrow down which language you’d like to be working further with.
• Pick one of the languages you’re leaning in favor of and go build your application. If you come to a point where you feel like the language you choose is no longer suitable for what you wanted to do, you can always retry with another language, and then you will know at least a fair part of more than one language.

When the enum reaches your JSON, it will have to be a string (as JSON does not have a dedicated “enum” type). But it at least ensures that languages parsing your JSON will should have a consistent set of strings to read.

Consider this small bit of Elm code (which you may not be an Elm dev, and thats okay, but it’s the concept that you should look to get):

-- A Directions "enum" type with four options:
-- North, East, South, West
type Directions
    = North
    | East
    | South
    | West

-- How to turn each Directions into a String
-- Which can then be encoded in JSON
directionsToString : Directions -> String
directionsToString direction =
    case direction of
        North -> "north"
        East  -> "east"
        South -> "south"
        West  -> "west"

-- "Maybe Directions" since not all strings can be parsed as a Directions.
-- The return will be "Just <something>" or "Nothing"
directionsFromString : String -> Maybe Directions
directionsFromString dirString =
    case dirString of
        "north" -> Just North
        "east"  -> Just East
        "south" -> Just South
        "west"  -> Just West
        _       -> Nothing

The two functions (directionsFromString and directionsToString) are ready to be used as part of JSON handling, to read a String from a key and turn it into a Directions enum member, or to turn a Directions to a String and insert the string to a key’s value

But all that aside, for your restructuring, and keeping with the license plate example, both type and license number could be contained in a small object. For example:

{
    ...
    "licensePlate": {
        "type": "government"    <- an enum in the language parsing this
                                   but a string in JSON
        "plateNumber": "ABC123"
        ...
    }
    ...
}

If its something that represents mutually exclusive states, like the license plates examples (Gov’t, Embassy, Learner), an enum like 4wd mentioned is a better idea than many boolean keys. This would also be the switch/case question you posed. For a “regular case”, I would include that in the enum, but if you create an enum that only contains “special cases”, you can always set it to null.

On the case of booleans, I would suggest avoiding them unless it is necessary, and truly a binary (as in, two-option, not binary numbers), self-contained-in-one-key thing (obligatory anti-boolean video). If the use case is to say what a different key’s object represents, you don’t need it (see: enums. You’ll thank yourself later if you add a third option). If the use case for using it is saying another key contains value(s), you don’t need it. Many languages can handle the idea of “data is present, or not present” (either with “truthy/falsey” behavior interpreting “data-or-null”, or “Maybe/Option” types), so often “data-or-null” can suffice instead of booleans.

I would suggest trying to always include all keys of a present object, even if it’s value is null or not applicable. It will prevent headaches later when code might try to access that key, but it isn’t present. This approach might also help you decide to reduce the quantity of keys, if they could be consolidated (as in taking booleans and converting to a state-like enum, as mentioned above), or removed (if unused and/or deprecated).

You can feign immutablility on class attributes by playing with __setattr__. I don’t remember the exact way to do it, but its roughly like this:

class YourClass:
    def __setattr__(self, name, value):
        if not hasattr(self, name):
            super().__setattr__(name, value)
       else:
            # handle as you wish if the
            # attr/value already exists.
            # pass, raise, whatever

I say “feign immutability” because there are still cases in which an attr value can change, such as:

• the underlying attribute contains a list and appending to the list
• the underlying attribute is a class and modifying the class’s attributes
• pretty much anything that does “in place” changes, because so much of python is referential and has side effects.

I was using VSCode prior. VSCode works, sure, I just like the layout and flow of how I have Zed configured at the moment.

Also, preferably less Microsoft in my everything

Which plugins? I dont really care about many of them. Does the editor type my funny robot words and help me make sure the words I typed made sense for the language (aka, language servers)? Yes? Good.

Neat. I use Zed at work, but now also having it on my personal desktop will be nice. Bye, VSCode.

On my system, just one note that it didn’t render a menu bar. Not that I use it much anyway, just had to find the default keybind to open the keybinds config (btw: ctrl K |> ctrl S) and pasted what I used from work (then bulk-replaced all cmd’s with ctrl’s)

Theme change was not sticking on first launch, but second launch I guess it realized “Oh, I’m supposed to be this color now. Got it”. Ligatures don’t do, but it is a preview and that’s just an aesthetic.

Agreed. Functional languages really raised my standard for what a language could be.

Stronger typing. More functional flow. Less dumb errors.

Haskell for sure has a very sloped learning curve. The functional style, different syntax, a myriad of symbols and pragmas, as well as the tooling around it.

The only reason I was able to pick it up as quick as I did was because I was used to Elm due to my job. Then it was just learning about the IO type (and how to use it), cabal, stack, built-in symbols, and the most common pragmas.

But the symbols part is especially harsh, since symbols only hold meaning if they’re universally understood. Sure, the base- language ones are kinda adopted at this point, so they’ll stay, but the fact that external modules can also make symbols (sometimes without actually-named counterparts) adds some confusion. Like, would you just know what .: is supposed to mean off the top of your head?

Based on the first example:

If you want to help yourself a bit, enumerate your for loop. enumerate turns an iterable (like a list, or in this case a string) into an iterable of tuples, with contents being an int representing the index of an item and the item itself:

for (i, letter) in enumerate(chosen_word):

(Side note, the parenthesis surrounding (i, letter) are optional. I purposely included them to show that it’s a tuple.)

i will be the index of each character, and letter will be the character itself. You can then do:

if letter == guess:

And to wrap it up, do list assignment by index. Someone already mentioned why not to use insert in this scenario, so I won’t repeat them. The following will instead overwrite the item at display index i with the guessed character:

display[i] = guess

For transpiled-to-JS languages: Elm, Purescript, Typescript

I personally use Elm. Really helps remove all the JS funny business, without really having to type it (mostly)