I'm taking down this post. I just posted this as a side comment to explain a sentence on my latest blog post. This wasn't meant to be #1 on HN to start a huge war on functional programming... The thoughts are not well formed enough to have a huge audience. Sorry for all the people reading this. And please, don't dig through the history...
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Save vjeux/cc2c4f83a6b60d69b79057b6ef651b56 to your computer and use it in GitHub Desktop.
I've been programming OCaml for years and I too miss early returns. However there is a good solution. There was a long discussion about this on the OCaml mailing list a few months back, and there are various with_return
modules. My contribution to the art is this implementation.
at least now I know it must be pretty easy to get a job at fb, in case i need a backup
@jonsterling you seem like a wonderful person to work with.
There is a lot of really good reasons why functional programming isn't good for every use-case. It would be meaningless to enumerate them here as they're obvious if you take a bit of time to look for them. This gist (unfortunately) doesn't make any good arguments against using the paradigm :(
Worth reading the history on this one
He is right, this is exactly how I felt when I first switched to functional programming.
Nevertheless, with time, you start to adapt yourself and get it and FP starts to make sense.
Although, I still dislike the way FP people thinks brevity increase readability... I mean look at APL, it is short.
Furthermore the examples they pick are always too simplistic to make a point.
Finally, the performance of FP is something I am very interested in and I was never able to found something about it.
I am also worried about the cache unfriendliness of lists but everybody seems to forget about processor cache when working on distributed systems, on a other side Scala does allow you to use arrays instead of lists and I am mainly using arrays anyway.
"passing values around (reduce)". so the alternative is the go style where everything is explicit. in practice the first problem is that it can be tedious to write. reduce/map are geared for increasing velocity because you can do the same with less. the second problem is that the explicitness can encourage bad practises. imagine mutating the first variable at the end of a long sequence of for loops... I'd argue that that can be just as bad if not worse.
the bottom line is that writing good code takes practice because it's an art.