Comment by jacobgorm
9 months ago
C++ classes with inheritance are a pretty good match for objects in a 3D (or 2D) world, which is why C++ became popular with 3D game programmers.
9 months ago
C++ classes with inheritance are a pretty good match for objects in a 3D (or 2D) world, which is why C++ became popular with 3D game programmers.
This is not at all my experience.
What I have experienced is that C++ classes with inheritance are good at modeling objects in a game at first, when you are just starting and the hierarchy is super simple. Afterwards, it isn’t a good match. To can try to hack around this in several ways, but the short version of it is that if your game isn’t very simple you are better off starting with an Entity Component System setup. It will be more cumbersome to use than the language-provided features at first, but the lines cross very quickly.
I like the Javascript way of objects just having fully mutable keys/values like dictionaries, with no inheritance or static typing.
Hmm no not really in my experience. Even the old "Entities and Components" system in Unity was better, because it allowed to compose GameObject behaviour by attaching Component objects, and this system was often replicated in C++ code bases until it "evolved" into ECS.
This is how I feel about golang and systems programming. The strong concurrency primitives and language simplicity make it easier to write and reason about concurrent code. I have to maintain some low level systems in python and the language is such a worse fit for solving those problems.
Yeah, OOP makes sense for games. The language will matter a bit for which one takes off, but anything will work given enough support. Like, Python doesn't inherently make a lot of sense for data processing or AI, but it's good enough.
OOP kind of goes out the window when people start using entity component systems. Of course, like the author, I'm not sure I'll need ECS since I'm not building a AAA game.
Had to look up ECS to be honest, and it's pretty much what I already do in general dev. I don't care to classify things, I care what I can do with something. Which is Rust's model.
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To be clear, the reason why Python is so popular for data wrangling (including ML/AI) is not due to the language itself. It is due to the popular extensions (libraries) exclusively written in C & C++! Without these libraries, no one would bother with Python for these tasks. They would use C++, Java, or .NET. Hell, even Perl is much faster than Python for data processing using only the language and not native extensions.
Python makes sense because of accessibility and general comfort for relatively small code bases with big data sets.
Those data scientists at least from my experience are more into math/business than interested in most efficient programming.
Or at least that was the situation at first and it sticked.