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by dgb23
2310 days ago
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> My experience differs. It is hard to find a data structure that cannot be modeled with Python's native data structures with only a constant performance penalty. In fact I believe that I have only seen one, and I don't remember what it is. My claim isn't that they don't exist or that one cannot implement them in for example Python (which is very false). I was imprecise there. What I was trying to say is that there is a higher degree of uniformity and generality to do the same in Clojure, which leads to more cleanliness and easier, more fluent abstractions. Clojure code (and I assume similar to true with other Lisps) feels more compatible with itself so to speak. Syntax plays a role here but also the fact that Clojure is designed to be primarily an FP language. > I agree with the points that suck about Clojure. To them I must add, "It is hard to hire people who already know the ecosystem." For real businesses this is a non-trivial issue. (...) I fully agree with this and with the rest of your points. I think there might also be factor of personal taste or way of thinking. |
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I do know from personal experience that programming in a familiar environment is significantly more productive than programming in an unfamiliar one. And that many, many programmers have mistaken their personal productivity for the productiveness of the environment.
This is one of the causes of a lot of "holy wars". Because everything from indentation style, to operating system, to text editor, to language feels critical. And indeed is...for the programmer who hasn't learned how to switch between these things.
If someone had an oracle that could give us the answer, I would happily take an even money bet that something of this at least contributes to how much you prefer Clojure.
I also agree with you that there is a lot of personal taste and way of thinking involved. And furthermore that our opinions usually match whatever environment(s) we imprinted on. (In the interests of full disclosure, my background is math, Perl and relational databases.)