Please explain some of Paul Graham’s points on Lisp

clojurecommon-lisplispscheme

I need some help understanding some of the points from Paul Graham’s What Made Lisp Different.

  1. A new concept of variables. In Lisp, all variables are effectively pointers. Values are what have types, not variables, and assigning or binding variables means copying pointers, not what they point to.

  2. A symbol type. Symbols differ from strings in that you can test equality by comparing a pointer.

  3. A notation for code using trees of symbols.

  4. The whole language always available. There is no real distinction between read-time, compile-time, and runtime. You can compile or run code while reading, read or run code while compiling, and read or compile code at runtime.

What do these points mean? How are they different in languages like C or Java? Do any other languages other than Lisp family languages have any of these constructs now?

Best Solution

Matt's explanation is perfectly fine -- and he takes a shot at a comparison to C and Java, which I won't do -- but for some reason I really enjoy discussing this very topic once in a while, so -- here's my shot at an answer.

On points (3) and (4):

Points (3) and (4) on your list seem the most interesting and still relevant now.

To understand them, it is useful to have a clear picture of what happens with Lisp code -- in the form of a stream of characters typed in by the programmer -- on its way to being executed. Let's use a concrete example:

;; a library import for completeness,
;; we won't concern ourselves with it
(require '[clojure.contrib.string :as str])

;; this is the interesting bit:
(println (str/replace-re #"\d+" "FOO" "a123b4c56"))

This snippet of Clojure code prints out aFOObFOOcFOO. Note that Clojure arguably does not fully satisfy the fourth point on your list, since read-time is not really open to user code; I will discuss what it would mean for this to be otherwise, though.

So, suppose we've got this code in a file somewhere and we ask Clojure to execute it. Also, let's assume (for the sake of simplicity) that we've made it past the library import. The interesting bit starts at (println and ends at the ) far to the right. This is lexed / parsed as one would expect, but already an important point arises: the result is not some special compiler-specific AST representation -- it's just a regular Clojure / Lisp data structure, namely a nested list containing a bunch of symbols, strings and -- in this case -- a single compiled regex pattern object corresponding to the #"\d+" literal (more on this below). Some Lisps add their own little twists to this process, but Paul Graham was mostly referring to Common Lisp. On the points relevant to your question, Clojure is similar to CL.

The whole language at compile time:

After this point, all the compiler deals with (this would also be true for a Lisp interpreter; Clojure code happens always to be compiled) is Lisp data structures which Lisp programmers are used to manipulating. At this point a wonderful possibility becomes apparent: why not allow Lisp programmers to write Lisp functions which manipulate Lisp data representing Lisp programmes and output transformed data representing transformed programmes, to be used in place of the originals? In other words -- why not allow Lisp programmers to register their functions as compiler plugins of sorts, called macros in Lisp? And indeed any decent Lisp system has this capacity.

So, macros are regular Lisp functions operating on the programme's representation at compile time, before the final compilation phase when actual object code is emitted. Since there are no limits on the kinds of code macros are allowed to run (in particular, the code which they run is often itself written with liberal use of the macro facility), one can say that "the whole language is available at compile time".

The whole language at read time:

Let's go back to that #"\d+" regex literal. As mentioned above, this gets transformed to an actual compiled pattern object at read time, before the compiler hears the first mention of new code being prepared for compilation. How does this happen?

Well, the way Clojure is currently implemented, the picture is somewhat different than what Paul Graham had in mind, although anything is possible with a clever hack. In Common Lisp, the story would be slightly cleaner conceptually. The basics are however similar: the Lisp Reader is a state machine which, in addition to performing state transitions and eventually declaring whether it has reached an "accepting state", spits out Lisp data structures the characters represent. Thus the characters 123 become the number 123 etc. The important point comes now: this state machine can be modified by user code. (As noted earlier, that's entirely true in CL's case; for Clojure, a hack (discouraged & not used in practice) is required. But I digress, it's PG's article I'm supposed to be elaborating on, so...)

So, if you're a Common Lisp programmer and you happen to like the idea of Clojure-style vector literals, you can just plug into the reader a function to react appropriately to some character sequence -- [ or #[ possibly -- and treat it as the start of a vector literal ending at the matching ]. Such a function is called a reader macro and just like a regular macro, it can execute any sort of Lisp code, including code which has itself been written with funky notation enabled by previously registered reader macros. So there's the whole language at read time for you.

Wrapping it up:

Actually, what has been demonstrated thus far is that one can run regular Lisp functions at read time or compile time; the one step one needs to take from here to understanding how reading and compiling are themselves possible at read, compile or run time is to realise that reading and compiling are themselves performed by Lisp functions. You can just call read or eval at any time to read in Lisp data from character streams or compile & execute Lisp code, respectively. That's the whole language right there, all the time.

Note how the fact that Lisp satisfies point (3) from your list is essential to the way in which it manages to satisfy point (4) -- the particular flavour of macros provided by Lisp heavily relies on code being represented by regular Lisp data, which is something enabled by (3). Incidentally, only the "tree-ish" aspect of the code is really crucial here -- you could conceivably have a Lisp written using XML.

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