Ask YC: Ruby and Lisp devs, please answer this (Not a flame war)
I'm a Ruby guy, I've fallen in love with the language thanks to Rails. I have a Master's in CS and in college we studied mainly Java, along with some Lisp and C, but I try to do all my current programming in Ruby.
In an effort to not be a Blub programmer I have taken another look at Lisp to see what I'm missing, but I'm afraid that I can't really see it. I found this page http://innig.net/software/ruby/closures-in-ruby.rb which explains Closures in Ruby and after looking through that I don't really see what I could do with Lisp that I can't do with Ruby.
Again, I'm not looking for a "OMG Python is better than both" I would just like some honest answers about what the differences are. It's always worth it to learn new languages but would it be a better use of my time to start over and learn Lisp or just learn how to proficiently use Closures in Ruby?
Any comments, questions, etc. would be appreciated.
67 comments
[ 2.1 ms ] story [ 83.8 ms ] threadThey allow you to write a true DSL. Paul Graham pretty much wrote the book on the subject (On Lisp) which he graciously offers as a free download since it's out of print.
If you measured by uses of each type of operator, the role of macros would be even larger. You often write a function that you only call once, but you wouldn't do that with a macro.
Here's the last piece of code I wrote. I wrote it because I was curious to see what colors users had chosen for the top bar.
There are 10 macros used here: defopa, minipage, tab, each, karma, aand, uvar, tr, td, tdcolor.Actually it's a hack that karma is a macro. I wanted it to be settable and was too lazy to define a setter, so I just defined it as a macro. It should be a function, and I should be able to say just (compare > karma).
Edit: OK, perhaps Arc is written in Scheme, but Arc itself features CL like macros, that would explain it ;-)
http://news.ycombinator.com/item?id=97830
I am sure the code above is poetry for those deep into it, but for a person who is a bit rusty (or god forbid, new to the code base), this is basically indecipherable. Look at how many tokens are there in a line like
(each c (dedup (map downcase (trues [uvar _ topcolor] (keys profs*))))
How many people can answer the question of which ones are macros, functions, simple identifiers and so on? In that particular example I am stumped at [uvar _ topcolor] and can't get past it.
Yes, I have read Paul's thesis on Lisp code density (quick summary: each line is dense, but there is a lot less overall code so it evens out or better), but my counter would be that there is a density beyond which most mortal brains can't penetrate.
Without intending to cause offense, I am going to say that this is tending to write-only code. Sure, the equivalent Ruby or Python (leave alone blubs like Java or C#) would be pages long, but I suspect that lower density leads to better understandability.
There's not really a concept of lines in Lisp; you can break expressions wherever you like. E.g. you could also write:
From PG's post above, it seems like those are fairly evenly distributed across macros and functions. I don't need to know whether td is a macro or function to guess that it outputs a table data cell. I do need to know that it outputs a table data cell, and I only know that because I'm familiar with HTML.
Reminds me of mathematical proofs, where you work out everything offline, and then make the proof elegantly brief. There is a similar process going on here - writing macros really does boil down to that kind of offline work.
Just as with such elegant proofs, though, you do need a pencil and paper to trace through the steps. And if the programmer were anything but of the highest caliber, it is fairly easy to get tripped up.
The way blub languages handle (the absence of) macros for td, tr etc. is to invent templating languages (JSP etc) where you embed Java inside HTML. You basically have a DSL living in a separate syntactic space. That gets the job done, for the specific problem space at hand (web apps).
I have come to like that syntactic space separation: HTML lives as HTML, SQL lives as SQL and so on. With macros, you are getting everything to live in the same syntactic space, so you get the proliferation of tokens, without that structural separation that aids in comprehension.
I doubt it's the density that's the problem. I also doubt macros are. It's more like whether you recognize "the way" in which you're supposed to write, in the given language. Any language, verbose or terse, is indecipherable until you get familiar with the way even you know the syntax and semantics of the language.
My broader point still holds though - there is a maximal density ...
And the reason I commented on it was that in posting that code fragment, the message was that it would be "kind of obvious" to any reasonably competent programmers how macros really help. I agree macros really do help, so no quarrel there.
In this case, we understand the "application" perfectly, and then we get to see the code. It still got (some of us) stumped, and (some of us again) actually know about macros and are moderately familiar with Lisp idioms. That is why I asked if density can go too far.
Compare that to something like LINQ, which I am coincidentally studying. It is a DSL for querying object collections (a similar use case to the code here). With no special background, you can go in, read code, and get a reasonable idea of what is going on.
LINQ actually lets you get rid of a lot of code (something I agree with in general), so it lives much higher on the density scale than a typical blub.
Ultimately that's the choice of the designer; not all languages need to address to the broad range of programmers.
Less code = faster development, easier maintenance, fewer bugs
each = mutant foreach
dedup = remove duplicates
(trues [] (keys profs*)) would mean "map the lambda (predicate) over the list of keys to the hash of profiles, returning a list of elements for which it returned #t."
A few more specifics about the application and language would make this comprehensible.
- You can look ahead easier and get a bird's-eye-view - Once you learn an operator, recognizing it (and writing it correctly) becomes a single word instead of said line/block/idiom.
My guess is that [uvar _ topcolor] is a function similar to (lambda (x) (uvar x topcolor)). That's just a guess, but once I learn whatever it is, I'd wage that it's easier to recognize and debug the bracket syntax.
I suggest you implement a terse syntax for partial-apply. For my own pet lisps, I use {}. (You are welcome to steal it ;-)
So {+ 1} would expand to (in scheme) something like (lambda rest (apply + `(1 ,@rest)). You could keep partial-applying arguments
then actually apply it with () Your accumulator generator in Arc: Could be shortened to: The only time you'd need _ is when you want to change the order of the arguments (e.g. you'd never need {+ _ 2}, but you might need {/ _ 3}, or even {/ _ _ _ 3} if you want to jam the first three arguments in front.This has some other interesting properties:
- In a lisp-1 OR lisp-2, #'foo can be represented as {foo}.
- Your karma macro can fit in there as (compare > {karma})
- With the _ variables, it might even be a general case of your [] syntax.
- {} stands out visually. "Here be electric magic."
- If you ever implement generic functions dispatched left-to-right, you can implement partial dispatch for partial application.
Perl6, may it rest in peace, had that feature in its spec.
I'd love to just sudo apt-get install arc in this lifetime.
Should we arrange another Lightweight Languages day at MIT for this?
I attended Lightweight Languages once and it was awesome. Informal, a large variety of smart people, but each smart in their own way, that had a lot to genuinely learn from each other.
Sadly, conferences, even comparatively small and informal once, take some effort and some money to put together, and frankly it's not going to be me who is capable of coming up with either.
I look forward to typing:
At least, that's what the people who want to become lisp programmers want. It's probably not what the current lisp programmers want. Hey ho. Just don't make emacs the default development environment.
Pg has a lot of people fired up about using lisps, but right now it's a sport you can only participate in if you've got a certain -other- set of skills like vi and emacs and a decent knowledge of system administration. Preconditions like this limit the user community massively. Small communities find it difficult to get momentum.
I've forced myself to stick with emacs/slime because basically that's that there is. I'm getting comfortable, and starting to like it. But I think it's actually a kind of Helsinki syndrome...
I'd like to write the next Viaweb, and I'd like to write it in Lisp. But if the basic language is inviting, the rest of the environment is sorta hostile; a shangri-la in a swamp.
So the quality of the installer, the libraries distributed with it, the documentation, and the bundled editor will ultimately affect it's success.
http://en.wikipedia.org/wiki/Archaeopteryx
In a similar vein, I wonder about the Erlang hype - some things are really impractical to do in Erlang, for lack of syntactic sugar and the immutable memory constraint. People were always bickering about the constraints in Java (no multiple inheritance and stuff like that), so why choose another language with impractical constraints instead?
Tree = Branch Tree Tree | ILeaf Int | SLeaf String
then a list like [ILeaf 1, SLeaf "foo"]. Another way to go takes advantage of type erasure. Currently it's just a popular extension but it lets you have lists of stuff in the same type class.
A good example is "Show" you can have a list off stuff that knows how to turn itself into strings. always a handy thing.
Basically you get the big two, group things based on what they are, or group things based on what you can do to them.
Perhaps there is a big pile of random stuff you want to hang on to, but i'd bet 99.9% of the time you really want to collect the stuff into a coherent type.
http://blade.nagaokaut.ac.jp/cgi-bin/scat.rb/ruby/ruby-talk/...
I took a look at that Closures in Ruby page you mentioned.
It says about Ruby: "This is quite a dizzing array of syntactic options, with subtle semantics differences that are not at all obvious, and riddled with minor special cases. It's like a big bear trap from programmers who expect the language to just work."
http://markwatson.com/blog/2008/01/cool-common-lisp-elephant...
Performance is a big difference:
"Common Lisp compiled code runs much faster than Ruby: typical benchmark results are about 30 times faster - but Ruby's slowness is mitigated if a lot of processing is performed in native libraries like Ferret."
I don't think Ruby has all of the functionality of CLOS or the Meta Object Protocol. Here's Matz commenting on the lack of multi-methods in Ruby:
http://blade.nagaokaut.ac.jp/cgi-bin/scat.rb/ruby/ruby-talk/...
"Most OO langauge includes Ruby see methods as "element of an object" This does not hold for CLOS. You loose the tight relationship but gain a new level of flexibility."
Beyond that, I would say pick a programming methodology and there is probably a CL implementation of it somewhere out there built with macros. That's due to the greater maturity of CL and "real macros" (which have been well covered by others already). And beyond macros, the "code as data" paradigm enabled by s-expressions has other uses (I think Steve Yegge mentioned "executable log files" as an example).
For the cute version of why Lisp macros are so awesome check out chapter 8 of Practical Common Lisp (http://gigamonkeys.com/book/).
For the serious and intense version check out On Lisp (http://paulgraham.com/onlisptext.html).
- conditoins and restarts - CLOS - reader macros (which are distinctly different from normal macros).
If you're talking about other Lisps (besides CL), like Scheme, it's worth looking at define-syntax and syntax-rules and how they deal with some of the intricacies of creating macros with define-macro.
2. Macros. Macros, macros, macros. Commonplaces like "code is data" and "program-writing programs" are useful characterizations, but they make it easy to underestimate how much of a productivity booster metaprogramming can be.
Despite regular practice and a lot of first-rate reading material, I stayed clueless about macrology until I got stuck with a big ugly infrastructure problem [2] that forced me to use a bottom-up style. At some point I macroexpanded my code out of curiosity and found myself staring at pages and pages of boilerplate. Some of it -- database code in particular -- even reminded me of stuff I previously would have done by hand.
Anyway, I guess I recommend the Kool Aid...
[1] OOP owes me my Freshman and Sophomore years.
[2] I was building a platform, but I can't talk about it.
This is, in my humble opinion, the biggest difference between Lisp and others.
http://paste.lisp.org/display/54227
"RLisp is a Lisp dialect naturally embedded in Ruby"