you can joke that x is “perfect” or that a language is close enough, but theres no such thing.
if i were to pick a perfect language, i would probably single out python. but its not the fastest, i dont like the direction its going in, its not the best language for low-level tasks like writing drivers or an operating system (youd probably want c for that) and its not even the best language for teaching first-time coders, but it does pretty well in that regard.
then theres fig. its designed for teaching, it addresses a number of things that make python less ideal sometimes, its heavily integrated with python (even allows inline python code and translates into python code) but its got tons of design decisions that are for a range of specific uses. i love using fig and i use it all the time, but its good for what its good for– it isnt perfect either.
one of the surest ways to improve (or ruin) a language is to try to make it perfect. people dont know (im not sure they can know) what “perfect” would be, but that doesnt stop them from trying. occasionally, that effort goes well. more often, it seems like they break more than they fix.
this is subjective of course, but thats really the point– the cons are subjective, but so are the pros. and so really no language can be “perfect.” people could never agree what that would even mean, and many notions of perfection are so impractical, they might as well be impossible.
the more elaborate your notion of quality is, the more work it takes to maintain it if you update it. the amount of work that will actually get done depends on the level of resources and interest towards that effort.
this is a highly variable thing, more than people seem to realize. they take for granted that monumental efforts require monumental interest– whether to volunteer time, or spend money, or both. and that level of interest can change any time the nature of the result changes.
some people clearly build large languages on the assumption that there will be substantial interest– at least their own. its difficult to predict the amount of interest even you will have in something in the future. im still very interested in fig, 2 years later. and ive been using python for most of a decade.
but if trends are easy to predict, no one is releasing much data on them– or almost no one is paying much attention to the data. if any language were perfect, the data probably wouldnt be as spread out as it is.
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