The link you posted, while interesting, doesn't substantiate the claim that Python was "designed" to be glue code. It is a nice side effect due to its simple yet powerful syntax and extensibility using CPython.

That non-python dependencies being a problem is not surprising and I don't think any language has really solved that. C/C++ doesn't have a dependency system, no package or library registry nor manager, no universal build system, and no version manager. Building anything of that language alone is a chore. Rust has to be present on the system and in the right version. D, Zig, Go, and others too.

If you're on Linux there's a good chance the library you want to use is already compiled for you and you can just download it as part of the Python package installation. Building it on linux is peeking into Pandora's box. Building it on non-linux is opening Pandora's box. The only non FHS Linux I've encountered to solve the dependency problem somewhat is NixOS.

IMO to complain about non-python dependencies is born in ignorance of other build systems. If they can't solve their own problems, it's a tall order to demand it of Python's packaging system. Python isn't perfect, of course, but the problems we're talking about here aren't python problems, IMO.

Anti Commercial-AI license

[–] sugar_in_your_tea@sh.itjust.works 1 points 1 day ago

That paper was written a few years after Python was released, and before 2.0 was a thing. The article says it's already being used that way in industry, and reasons why vs just doing native code from the start (faster dev time and whatnot). The way module loading and the whole standard library works facilitates native extension.

His stated goals for Python were generally:

clean code for the interpreter
clean syntax to make intent clear
easy to learn and use

They go so far as to reject changes that significantly increase performance if it complicates the code. Why? The simplest explanation is that if you need the speed, building your own native extension is the way to go. That was the way I've been told to use Python: write in Python, and if it's not fast enough, rewrite the slow parts in C/C++.

LuaJIT is an example of the opposite approach, where the interpreter is designed to be fast enough that you generally don't need to use native extensions, and they prioritize performance over features, unlike Python. As a result, community contributions are very limited, and many people stick with the official runtime.

Python wouldn't be very successful without native extensions, so I think it's absolutely fair to say it was an early design decision.