this post was submitted on 06 Jul 2023
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Programming

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[–] nous 23 points 1 year ago (15 children)

Overall I agree with what the author says, though I have a few further thoughts:

One might argue that writing types are time consuming, and the bugs are not an issue when programmer can cover those cases with automated tests.

These two arguments contradict each other and together are an argument for static typing, not against. Which just shows how weak these arguments are.

but a more powerful type of inference that can actually infer the whole type of a function by analyzing the body of the function.

This bit I am not convinced by. Inferring the API of a function from its body makes it harder to see breaking changes when you refactor the body. It can be useful for internal private helpers, but IMO public APIs should be explicit about their signature.

Functional Programming

I would go one step further here. It should support OOP and procedural paradigms as well. No single programming paradigm is best suited to all problems. Sometimes a mixed approach is best. Any language that heavily leans oneway at the expense of the others limits itself to the problems it can best solve. I do admit the far too many languages lean too much towards OOP at the expense of functional style.

So it is easy to push for a functional style over OOP in new languages. But I would be weary of purely functional language as well.

[–] [email protected] 4 points 1 year ago (1 children)

These two arguments contradict each other and together are an argument for static typing, not against. Which just shows how weak these arguments are.

The way I read it, he wasn't suggesting that was a good argument at all. He was just explaining what he believes dynamic type enthusiasts say.

This bit I am not convinced by. Inferring the API of a function from its body makes it harder to see breaking changes when you refactor the body. It can be useful for internal private helpers, but IMO public APIs should be explicit about their signature.

Well, in F# at least, this inference is the default. However, anybody can still fully type out the function signature. I think I get what you are saying, but in the case of a public API or interfaces the programmer can simply just add the type specifications.

I would go one step further here. It should support OOP and procedural paradigms as well.

Yea I somewhat agree with this. Though I mostly abhor OOP, it taken in small doses can be good. And procedural programming is always invaluable of course.

[–] nous 4 points 1 year ago

The way I read it, he wasn’t suggesting that was a good argument at all. He was just explaining what he believes dynamic type enthusiasts say.

Oh I read it the same way. I was just pointing out how much those two arguments contradict each other and that alone is almost enough of an argument without the extra ones the author gave. Though at the same time they are a bit of a straw man.

Well, in F# at least, this inference is the default. However, anybody can still fully type out the function signature. I think I get what you are saying, but in the case of a public API or interfaces the programmer can simply just add the type specifications.

But the problem with this being the default is most people wont go through the extra steps involved when they dont need to - which means you cannot really benefit from it most of the time. And the author implies that inferred types from bodies are always (or almost) the better option - which I disagree with.

Though I mostly abhor OOP, it taken in small doses can be good

Do you though? Or do you abhor inheritance. There are a lot of good ideas from OOP style code if you ignore inheritance (which was not originally part of the definition of OOP, in fact the original definition was very similar to some traits of function styles). It was only in later years and more modern times that OOP and inheritance was intertwined and IMO as a style it still has a lot to offer if you drop that one anti-feature.

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