This is a category of cursed knowledge which causes psychic damage to the reader.
When you go down certain rabbit holes you develop a fascination with obscure forms of programming and start to realize it has some powerful benefits of which you can never take advantage because it isn't widely adopted.
To free yourself from this curse write ten regular for-loops in C and say a prayer to K&R while tighly holding your copy of The C Programming Language.
If you internalize this cursed knowledge, you will see how language[C]-evangelists cherry-pick which dimensions to measure the value/success of a programing language. Don't proceed. It will make you frustrated, cynical, and disillusioned with the state of PL discourse.
I know it's a joke but I don't really agree that this area is cursed! It just delves way deeper into syntactical terseness than many programmers will tolerate.. even compared to assembler it's quite a different beast.
I think still potentially very interesting if you're keen on expressing the most computation using the smallest number of characters though!
I developed this on a society scale. Every time I go to a place and people are using very wrong ways (from normale like using an old excel file as a collaborative dB or wilder like printing Excel sheets to write changes wih a pencil to edit the file later...) I go depressed.
I find it rather weird to compare K to C. In what circumstances would the choice be between K and C? A more reasonable comparison would be between say Python with numerical libraries and K.
I'm torn. Not about the conciseness of the language overall, but about using symbols vs. names. I do see how the symbols make things more concise, less clutter, and can even make it easier to grasp a piece of code if you are deeply familiar with them[1].
On the other hand, there might be a limit. I do know how it is to use the Haskell lens package only occasionally, and then having to lookup again what the operators read out loud as "percent-percent-at-squiggly" and "hat-dot-dot" stand for (withIndex and toListOf respectively).
But arguably, the ones that are long and seldom used need looking up anyway, and their name is not that much more useful maybe?
[1] Also compare "2+2*8" with "sum 2 to the product of 2 and 8", or even just "sum(2,prod(2,8))".
The lens library has a reasonably consistent visual language baked into it:
- Operators containing `%` apply a function to the target (mnemonic: % is "mod" in many languages).
- Operators containing `=` have a `MonadState` constraint and operate on the monadic state.
- Operators containing `~` operate directly on values.
- Operators starting with `<` pass through the new value.
- Operators starting with `<<` pass through the old value.
- Operators containing `@` operate on indexed optics (mnemonic: indices tell you where you are "at" in the structure you're traversing).
So an operator like `(<<<>=)` means "semigroup append something in the monadic state and return the old result". This is the power of a well-chosen symbol language, and I don't know how you'd do this ergonomically and compactly with only named operators.
As anyone who uses such a language could tell you, you get used to the symbols quite quickly, and commit their meaning into memory. For that reason I mostly view the heavy use of symbols in a programming language as a negative only insofar as it makes it intimidating to newcomers.
The only other thing can I find can be an issue with the heavy use of symbols in a language is that it can lead to a certain degree of inflexibility in the language. There are only so many symbols that can be used, and once they're all used up your options are either use normal variable names (and reduce the number of ideas that can be expressed concisely), or make symbols context dependent.
The designers of k went to some lengths to avoid the use of variable names, so some symbols are better than others in terms of clarity. Some mean the same thing everywhere, but others are heavily context dependent in an effort to reuse the limited amount of symbols they have at their disposal.
k is a great domain-specific language, but struggles at being a good general purpose language for a variety of reasons. I'd love to be able to use it for data processing inside of other languages. Let the other less expressive but more robust languages handle the control flow, library interactions, etc., and then run k code to work with data as vectors and tables. If only k supported n-dimensional arrays, then it'd be very interesting to see what it could do if integrated with something like Numpy, but I could spend all day wishing k was better than it is. I'm very happy with what it's able to do, and generally groan when I find myself having to use other less expressive data processing tools (which is practically everything).
> I'm torn. Not about the conciseness of the language overall, but about using symbols vs. names. I do see how the symbols make things more concise, less clutter, and can even make it easier to grasp a piece of code if you are deeply familiar with them[1].
I think the "if you are deeply familiar with them" is important. Using non-standard symbols makes comprehension more binary: either you've memorized them and understand or you don't; there's no muddling through, relying on common concepts and terms to make up for incomplete memorization.
That probably also results in a much more binary user base: true-believers who dedicated a bunch of time to become proficient, and non-users who were unable or unwilling to, and not a whole lot in between.
I'm sure if you used K for a year or so, that would be obvious and understandable at a single glance. But all I can think of is that I used to see that in my terminal session right after my modem got disconnected.
I think this hints at the main issue people have when reading more terse code: you need to read it slower. If you try to read K at the same speed as C, it’s going to fly by. I can feel this in my own Python code when I write in a more or less compact style. But on the more dense code, if I slow down, I can understand it faster and more clearly than the verbose code.
Been doing k for a bit (under a year). A single glance is optimistic, but probably only took me a few seconds. Almost certainly faster than any equivalent code in any other language. It's even easier if you give it a nice name, like "fib".
How many years did you spend on mathematics? How comfortable are you with reading math notation?
I think the same problem applies. If you don't remember the specific of a symbol it becomes difficult to understand what the symbol might be without context.
Just replace K and JavaScript with German and English to see the vacuity of this argument. Either of several possible representations can become native to one’s thinking. The question is which is a better aid in reaching some non-arbitrary goal. The only merit of K presented and emphasized here was the supposed brevity of its programs. Personally I’ve found the habitable zone somewhere that allows for more air between ideas.
How about this: K is an interpreted language, but your whole program's source code plus the interpreter plus the whole database engine fits inside your server's L1 cache, so K programs tend to be faster than their C equivalents (in addition to all the array operations being highly optimized).
And you don't get to waste time scrolling, your typical module's code fits on your single screen.
> Does giving a K idiom a name make it clearer, or does it obscure what is actually happening?
There's a balancing act around that. It's called "abstraction".
At some point, you cannot afford to know what's actually happening. If you try, the entire problem won't fit in your head. So you cut the thing you're working with to a name and an interface, and forget what's "actually happening". You do that right in the K code, because you e.g. cut your understanding of `/` to "fold the array with the preceding operation", and totally don't think about the way it's implemented in the machine code.
This, of course, does have a cost; the simplest case is inefficiency, worse are circuitous ways to arrive to logically the same result, when a much simpler way exists.
I'd argue that `/` or `+` are very much names, of the same nature as `fold` or `add`, just expressed shorter. So if you prefer point-free style, you can likely do a very similar thing in, say, Haskell (and some people do).
I'd hazard to say that APL and J are DSLs for array / matrix numeric code. They allow to express certain things in a very succinct way. What APL traditionally had, mmm, less than ideal experience was I/O, because the language is not optimized for the branchy logic required to handle it robustly. K is a next step that allows to escape into "normal-looking" language with long names, explicit argument passing, etc when you feel like it.
Also, I love this idea: «APL has flourished, as a DSL embedded in a language with excellent I/O. It's just got weird syntax and is called Numpy.» (https://news.ycombinator.com/item?id=17176147) The ideas behind APL / J / K are more interesting than the syntax, and haven't been lost.
I love the idea of using k as a DSL (domain specific language) for working on time-series data. Something like it would also be great for working on n-dimensional arrays, but unfortunately k doesn't really support working with them in any elegant or efficient way.
Python and Numpy would benefit a lot from having something like k to express vector/matrix operations elegantly.
The uncanny rapport I feel by reading "lazy Tuesday afternoon, visiting The Orange Website, self-consciously averting your eyes from the C compiler output in a nearby terminal" builds enough trust that I'm willing to pay attention to what John Earnest (IJ or RtG) has to say about this. He's a great writer.
Naming things is hard. It's one of the 2 most difficult problems in CS, along with cache invalidation and off-by-one errors. Of course, in this context I mean "CS" as "Computer Science", not "CouchSurfing".
For the K programming language, meanings are specifically defined. In the article:
"The word “ordinal” can mean anything, but the composition << has exactly one meaning."
That's fine for the K compiler, but not for Google Search, or grep. I use "<<" to mean a bit shift to the left, presumably because I was taught C in university.
Unique names are more useful for addressing (e.g. IPV6) but common names are more memorable (e.g. a URL. Translators (e.g. DNS) can't be perfect when there's a one-to-many or many-to-one correlation, but they try their best.
K does well to enforce structure, but in the process, makes it very hard for the programmer to find examples and other documentation. I guess that's why the language hasn't become as popular as other languages, whose syntax is sufficiently familiar to be legible and memorable but unique enough to be searchable.
In Polish notation all the operators are prefix operators.
In APL family languages there are infix operators and prefix operators.
Prefix operators take as their operand the result of everything to their right. Infix operators take as one operand everything to their right and take as their other operand the first thing on their left.
Programming language syntax is very much like the human languages themselves: it (re-)shapes your thinking.
I want to learn things that shape my thinking in a way that makes me more efficient, and in a way that makes it easier to express ideas.
If your language isn't giving me that then it's bye bye.
I get the appeal but squinting your eyes at a string of single-character symbols is taking it too far. The whole thing has to be somewhat ergonomic as well.
In my opinion, the conceal feature in Vim provides the best of both world to the name vs symbol problem.
When you want to review your code, you just go into normal mode, concealing all lengthy but frequent names into appealing symbols. When you want to write code, you switch to editing mode and all symbols on the editing line turn back into names
I use this feature mostly with python code. One liners making proficient use of lambdas, maps, reduces, and other functional treats are satisfyingly condensed, reducing the amount of attention required to parse each line.
No need for custom keyboards. People don't have to parse arbitrary symbols to understand what I wrote because the underlying code remains vanilla.
A drawback is that the apparent conciseness tricks me into writing very big one-liners difficult to parse when all terms are expanded.
This is either the most important paper in Computer Science.... or a trivial side effect of representing function composition by string concatenation...
Honestly, while I like the clarity, I would still dislike it in JavaScript for performance reasons, because in JavaScript reduce is not optimized at all. And yes, I do work on a code-base where that difference is significant.
Also, that loop can still be cleaned up a bit in modern JS:
let max = list[0];
for (const v of list) {
if (v > max) max = v;
}
A slightly more verbose (less abstract) version of k would be q. Kx (proprietary owners of k/q) have a nice reference page if you're interested in learning more about the language, e.g., where it's used and how it's used... https://code.kx.com/q/ref/
Maybe the issue is that the symbols we readily accept are the ones we grew up with when learning Mathematics, + - * / ^ % = ..
If 'reduce' and 'map' had widely used symbols, which were taught in school / university as part of the standard curriculum, how different would coding look today?
Hint: K is the name of the central character in Franz Kafka's The Castle, as well as that of The Trial.
> "The term "Kafkaesque" is used to describe concepts and situations reminiscent of Kafka's work, particularly Der Process (The Trial) and Die Verwandlung (The Metamorphosis). Examples include instances in which bureaucracies overpower people, often in a surreal, nightmarish milieu that evokes feelings of senselessness, disorientation, and helplessness. Characters in a Kafkaesque setting often lack a clear course of action to escape a labyrinthine situation. Kafkaesque elements often appear in existential works, but the term has transcended the literary realm to apply to real-life occurrences and situations that are incomprehensibly complex, bizarre, or illogical."
I remember a discussion on HN on this language like a year ago or so. In the end what I got was some extremely weird snippets for very specific little quizzes that someone claimed were faster than with other languages, the argument that "it's shorter" and "but I can work with it".
So yeah, if you like it, I get it, go enjoy it. But this smugness of "it's actually better and I'm better for knowing it", it irks me. One of the most important aspects of programming languages is that they need to be used, and K is the single hardest language that I've tried to understand, even with documentation on the other screen and reading just short snippets. A language that people will ignore because they don't even know where to start reading is not that good of a language.
I already have problems reading arrow/inline functions... for example where a method is called with a function that returns a function... if there is one more (async) call in there my brain starts smoking.
It's all up to preference, really. It took me a while to get around my muscle memory from general imperative programming by the time I started using languages like K competently. Getting that motivation is definitely hard.
Yeah, ever since running into this little snippet eons ago, I've found the symbols are better argument for APL style languages quite weak: http://nsl.com/papers/kisntlisp.htm
Since the arity of all the primitives are known there's less parens than lisp. That seems like the clear sweet spot to me.
And I think this is born out with K the product. One of the things they added with Q is a more text oriented syntax.
The big a-ha in APL style languages is shifting from thinking about loops and iterating over single elements to transforming tensor like objects. It's a powerful approach no matter what language and syntax you use.
One important thing to remember about esolangs like this is that theory != implementation. Just because Brainfuck "theoretically" exists as a language doesn't automatically solve issues like memory management or extensibility. Sure, maybe it is more ergonomic to write some functions in K. But, as with most code-golfing languages, the goal isn't to build a better language, it's to build a faster one.
Maybe K can run those programs faster than Lisp/C/$FAV_LANG, but it's ultimately up to a much smarter programmer to implement that bit.
It should be noted that, according to Wikipedia, the K language isn't a toy language like Brainfuck but an actual language successfully used for a suite of financial software. It was developed for this purpose, not for code golf.
K language and APL family languages are serious business, though. And they get a head start on "extensibility" and other nice practical properties - notice how all those single-character operations are inherently and extremely composable.
TheAceOfHearts|4 years ago
When you go down certain rabbit holes you develop a fascination with obscure forms of programming and start to realize it has some powerful benefits of which you can never take advantage because it isn't widely adopted.
To free yourself from this curse write ten regular for-loops in C and say a prayer to K&R while tighly holding your copy of The C Programming Language.
aaron-santos|4 years ago
DonHopkins|4 years ago
danwills|4 years ago
I think still potentially very interesting if you're keen on expressing the most computation using the smallest number of characters though!
agumonkey|4 years ago
goto11|4 years ago
mqpasta|4 years ago
anyfoo|4 years ago
On the other hand, there might be a limit. I do know how it is to use the Haskell lens package only occasionally, and then having to lookup again what the operators read out loud as "percent-percent-at-squiggly" and "hat-dot-dot" stand for (withIndex and toListOf respectively).
But arguably, the ones that are long and seldom used need looking up anyway, and their name is not that much more useful maybe?
[1] Also compare "2+2*8" with "sum 2 to the product of 2 and 8", or even just "sum(2,prod(2,8))".
endgame|4 years ago
- Operators containing `%` apply a function to the target (mnemonic: % is "mod" in many languages).
- Operators containing `=` have a `MonadState` constraint and operate on the monadic state.
- Operators containing `~` operate directly on values.
- Operators starting with `<` pass through the new value.
- Operators starting with `<<` pass through the old value.
- Operators containing `@` operate on indexed optics (mnemonic: indices tell you where you are "at" in the structure you're traversing).
So an operator like `(<<<>=)` means "semigroup append something in the monadic state and return the old result". This is the power of a well-chosen symbol language, and I don't know how you'd do this ergonomically and compactly with only named operators.
WillDaSilva|4 years ago
The only other thing can I find can be an issue with the heavy use of symbols in a language is that it can lead to a certain degree of inflexibility in the language. There are only so many symbols that can be used, and once they're all used up your options are either use normal variable names (and reduce the number of ideas that can be expressed concisely), or make symbols context dependent.
The designers of k went to some lengths to avoid the use of variable names, so some symbols are better than others in terms of clarity. Some mean the same thing everywhere, but others are heavily context dependent in an effort to reuse the limited amount of symbols they have at their disposal.
k is a great domain-specific language, but struggles at being a good general purpose language for a variety of reasons. I'd love to be able to use it for data processing inside of other languages. Let the other less expressive but more robust languages handle the control flow, library interactions, etc., and then run k code to work with data as vectors and tables. If only k supported n-dimensional arrays, then it'd be very interesting to see what it could do if integrated with something like Numpy, but I could spend all day wishing k was better than it is. I'm very happy with what it's able to do, and generally groan when I find myself having to use other less expressive data processing tools (which is practically everything).
tablespoon|4 years ago
I think the "if you are deeply familiar with them" is important. Using non-standard symbols makes comprehension more binary: either you've memorized them and understand or you don't; there's no muddling through, relying on common concepts and terms to make up for incomplete memorization.
That probably also results in a much more binary user base: true-believers who dedicated a bunch of time to become proficient, and non-users who were unable or unwilling to, and not a whole lot in between.
initplus|4 years ago
In languages like K or APL, the combination of symbols is the actual definition.
chiph|4 years ago
travisjungroth|4 years ago
rak1507|4 years ago
Aerroon|4 years ago
I think the same problem applies. If you don't remember the specific of a symbol it becomes difficult to understand what the symbol might be without context.
lvncelot|4 years ago
still_grokking|4 years ago
"fby" means "flowed by". It constructs a stream.
So you can be quite terse without loosing the clarity just by using the right abstraction.
Example taken form:
https://en.wikipedia.org/wiki/Lucid_(programming_language)
WillDaSilva|4 years ago
tarxzvf|4 years ago
nlitened|4 years ago
And you don't get to waste time scrolling, your typical module's code fits on your single screen.
scns|4 years ago
nine_k|4 years ago
There's a balancing act around that. It's called "abstraction".
At some point, you cannot afford to know what's actually happening. If you try, the entire problem won't fit in your head. So you cut the thing you're working with to a name and an interface, and forget what's "actually happening". You do that right in the K code, because you e.g. cut your understanding of `/` to "fold the array with the preceding operation", and totally don't think about the way it's implemented in the machine code.
This, of course, does have a cost; the simplest case is inefficiency, worse are circuitous ways to arrive to logically the same result, when a much simpler way exists.
I'd argue that `/` or `+` are very much names, of the same nature as `fold` or `add`, just expressed shorter. So if you prefer point-free style, you can likely do a very similar thing in, say, Haskell (and some people do).
I'd hazard to say that APL and J are DSLs for array / matrix numeric code. They allow to express certain things in a very succinct way. What APL traditionally had, mmm, less than ideal experience was I/O, because the language is not optimized for the branchy logic required to handle it robustly. K is a next step that allows to escape into "normal-looking" language with long names, explicit argument passing, etc when you feel like it.
Also, I love this idea: «APL has flourished, as a DSL embedded in a language with excellent I/O. It's just got weird syntax and is called Numpy.» (https://news.ycombinator.com/item?id=17176147) The ideas behind APL / J / K are more interesting than the syntax, and haven't been lost.
vintermann|4 years ago
Ironically, points-free programming in Haskell has a lot of '.' in it.
WillDaSilva|4 years ago
Python and Numpy would benefit a lot from having something like k to express vector/matrix operations elegantly.
turbinerneiter|4 years ago
One common sight is this:
thing
Each of the calls returns a different type. Rust-analyzer displays the return type of each call to the right of it.I imagine something similar could reconcile the benefits of terseness with readability and discoverabilty.
The blog post already has the prototype:
+ / ! 100
plus reduce range 100
Imagine the second line being added in by your ide in a light gray.
still_grokking|4 years ago
goto11|4 years ago
So what would be the benefit compared to just writing `plus reduce range 100`?
peterburkimsher|4 years ago
Naming things is hard. It's one of the 2 most difficult problems in CS, along with cache invalidation and off-by-one errors. Of course, in this context I mean "CS" as "Computer Science", not "CouchSurfing".
For the K programming language, meanings are specifically defined. In the article:
"The word “ordinal” can mean anything, but the composition << has exactly one meaning."
That's fine for the K compiler, but not for Google Search, or grep. I use "<<" to mean a bit shift to the left, presumably because I was taught C in university.
Unique names are more useful for addressing (e.g. IPV6) but common names are more memorable (e.g. a URL. Translators (e.g. DNS) can't be perfect when there's a one-to-many or many-to-one correlation, but they try their best.
K does well to enforce structure, but in the process, makes it very hard for the programmer to find examples and other documentation. I guess that's why the language hasn't become as popular as other languages, whose syntax is sufficiently familiar to be legible and memorable but unique enough to be searchable.
raldi|4 years ago
galkk|4 years ago
Author builds this up by showing how long is writing "max" function with other approaches (iteration, reduce).
Can be wrong though
jitl|4 years ago
emptysea|4 years ago
e.g.,
results in:LAC-Tech|4 years ago
arthurcolle|4 years ago
LAC-Tech|4 years ago
CraigJPerry|4 years ago
I believe the reasoning is something like Iverson (or maybe Whitney) didn’t like the complexity of PEMDAS in maths so decided on this rule.
tzs|4 years ago
In APL family languages there are infix operators and prefix operators.
Prefix operators take as their operand the result of everything to their right. Infix operators take as one operand everything to their right and take as their other operand the first thing on their left.
Jtsummers|4 years ago
Polish notation would be lisp (or the notion most people have for lisp, special forms and macros break it up a bit).
pdimitar|4 years ago
I want to learn things that shape my thinking in a way that makes me more efficient, and in a way that makes it easier to express ideas.
If your language isn't giving me that then it's bye bye.
I get the appeal but squinting your eyes at a string of single-character symbols is taking it too far. The whole thing has to be somewhat ergonomic as well.
kubb|4 years ago
kleene_op|4 years ago
When you want to review your code, you just go into normal mode, concealing all lengthy but frequent names into appealing symbols. When you want to write code, you switch to editing mode and all symbols on the editing line turn back into names
I use this feature mostly with python code. One liners making proficient use of lambdas, maps, reduces, and other functional treats are satisfyingly condensed, reducing the amount of attention required to parse each line.
No need for custom keyboards. People don't have to parse arbitrary symbols to understand what I wrote because the underlying code remains vanilla.
A drawback is that the apparent conciseness tricks me into writing very big one-liners difficult to parse when all terms are expanded.
gHosts|4 years ago
http://nsl.com/papers/rewritejoy.html
compressedgas|4 years ago
Vg vf gur cnenqbkvpny pbzovangbe.
nope96|4 years ago
Stages of denial in encountering K, March 9, 2020, 422 comments https://news.ycombinator.com/item?id=22504106
dmor|4 years ago
Wonder how many people did not skip to the end and then skim back
Anunayj|4 years ago
vanderZwan|4 years ago
Honestly, while I like the clarity, I would still dislike it in JavaScript for performance reasons, because in JavaScript reduce is not optimized at all. And yes, I do work on a code-base where that difference is significant.
Also, that loop can still be cleaned up a bit in modern JS:
marrowgari|4 years ago
chronolitus|4 years ago
If 'reduce' and 'map' had widely used symbols, which were taught in school / university as part of the standard curriculum, how different would coding look today?
eevilspock|4 years ago
> "The term "Kafkaesque" is used to describe concepts and situations reminiscent of Kafka's work, particularly Der Process (The Trial) and Die Verwandlung (The Metamorphosis). Examples include instances in which bureaucracies overpower people, often in a surreal, nightmarish milieu that evokes feelings of senselessness, disorientation, and helplessness. Characters in a Kafkaesque setting often lack a clear course of action to escape a labyrinthine situation. Kafkaesque elements often appear in existential works, but the term has transcended the literary realm to apply to real-life occurrences and situations that are incomprehensibly complex, bizarre, or illogical."
~ https://en.wikipedia.org/wiki/Franz_Kafka#%22Kafkaesque%22
unknown|4 years ago
[deleted]
gjulianm|4 years ago
So yeah, if you like it, I get it, go enjoy it. But this smugness of "it's actually better and I'm better for knowing it", it irks me. One of the most important aspects of programming languages is that they need to be used, and K is the single hardest language that I've tried to understand, even with documentation on the other screen and reading just short snippets. A language that people will ignore because they don't even know where to start reading is not that good of a language.
rak1507|4 years ago
If you ever feel like trying it again, and get stuck on something, https://chat.stackexchange.com/rooms/90748/the-k-tree is the place to ask :)
z3t4|4 years ago
still_grokking|4 years ago
I start to feel uncomfortable when I see an explicit loop.
But that's actually very weird as I write Scala a lot where you use "for" (instead of "do-notation") for monadic computations.
My brain starts smoking when someone uses a "for" as an regular loop! That causes usually a few seconds of complete confusion. :-D
razetime|4 years ago
goto11|4 years ago
I think the article tries to make it sound more mysterious and groundbreaking than it really is.
mr_vile|4 years ago
BugsJustFindMe|4 years ago
That's...uhh...one way to do it. But it's a lot shittier to read than sum(range(100)).
jasonwatkinspdx|4 years ago
Since the arity of all the primitives are known there's less parens than lisp. That seems like the clear sweet spot to me.
And I think this is born out with K the product. One of the things they added with Q is a more text oriented syntax.
The big a-ha in APL style languages is shifting from thinking about loops and iterating over single elements to transforming tensor like objects. It's a powerful approach no matter what language and syntax you use.
rak1507|4 years ago
smoldesu|4 years ago
Maybe K can run those programs faster than Lisp/C/$FAV_LANG, but it's ultimately up to a much smarter programmer to implement that bit.
wging|4 years ago
Also, the primary goal is not always speed... runtime speed or speed of development. There are other things we trade off for all the time.
the_af|4 years ago
TeMPOraL|4 years ago