search for: abelson

...s hard to >find one without a for loop, but it's easy to find one without a map. >but it's not necessarily because for loops are easier; just that that's >the way people are typically taught to program. > >the structure and interpretation of computer programs (sicp) by abelson >& sussman, a beautiful cs masterpiece, introduces mapping (lapplying) on >p. 105, mentions a for-each control abstraction only in an exercise two >pages later, and does not really discuss for looping as such. >functional mapping over stateless objects is, in general, *much* easier...

...rammers. If one of the icons like Dave Thomas, DHH, Mike Clark, Andy Hunt et al could weigh in that''d be awesome :) Here are some of my favorites: Refactoring, Martin Fowler Mastering Regular Expressions, Friedl (regex''s rock!!) Structure and Interpretation of Computer Programs, Abelson and Sussman (the above made my head explode when I was in high school) Head First Design Patterns (because the GoF book put me to sleep) Agile Development with Ruby on Rails (because it went through the process of making a web site in an awesome way) The Pragmatic Programmer So what am I missing...

..."expressions" setting in options()? More fundamentally, I would appreciate any comment on this implementation or suggestion about the best way of implementing streams in R. My objective is to implement logic programming interpreter in R as done in LISP by G.F.Luger in his book or by Abelson & Sussman in "Structure and Interpreation of Computer Program". Thank you, Gabriel ### ### Examples ### > fib<-fibonacci.stream(0,1) Note that the fibonacci.stream() function is a nonterminating recursive function. It works only because of the delayed evaluation intro...

...Rscript | anotherConsumerUnixTool inside the Script i put the results to stdout, works fine, but how to read in from stdin? Its obvious that i have to source the Rscript in a different way. Any Hints? My second question is, if there is a possibility to use something like the Scheme Streams (see Abelson/Sussman "Structure and Interpretation of Computer Programs") for input of Huge Amounts of Data, that do not fit in the main memory, or to reduce the necessary amount of memory? The application i have in mind is: Generate from a training set a linear or other model and then pipe in a file...

...mpile.ss Can currently for example compile and run: (compiler '((lambda (x y z) (if (seteq (car (cdr (cons x (cons y 3)))) z) (add 1 0) (sub 2 1))) 1 2 2)) [2] Structure and Interpretation of Computer Programs, Abelson & Sussman.

Hello, What can I read to learn more about interpreters in general and the R interpreter in particular? As for my level of computer competence, I can maintain my Linux system pretty easily and I can program a bit in C and Python. TIA, Robert Burrows rbb at nebiometrics.com -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

hi why are tty3-tty6 started after this config change? i would like to have only tty1 finally becasue on a virtual machine there is no need for the other processes since CTRL+ALT+Fx is caught by the own system and remote console mostly not needed at all [root at centos ~]# cat /etc/init/start-ttys.conf # # This service starts the configured number of gettys. start on stopped rc RUNLEVEL=[2345]

...fo very useful. I just would like to answer Duncan Murdoch's question (what is a stream [Lazy list in Luke's implementation] in plain english?) in case it interests somebody else. In fact, I will quote from "Structure and Interpretation of Computer Programs", MIT Press, 1985, by Abelson and Sussman with some editing of my own: "From an abstract point of view, streams are simply a sequence of data objects. However, we will find that straighforward implementation of streams as lists does not allow us to exploit the power of stream processing. To solve this problem, we introdu...

...compile and run: > > (compiler '((lambda (x y z) > (if (seteq (car (cdr (cons x (cons y 3)))) z) > (add 1 0) > (sub 2 1))) > 1 2 2)) > > [2] Structure and Interpretation of Computer Programs, Abelson & Sussman. > > _______________________________________________ > LLVM Developers mailing list > LLVMdev at cs.uiuc.edu http://llvm.cs.uiuc.edu > http://mail.cs.uiuc.edu/mailman/listinfo/llvmdev -- ********************************************************************* *...

On 09/09/2020 07:15, Dominik Holler wrote: > > > On Wed, Sep 9, 2020 at 4:05 AM Brian Stinson <brian at bstinson.com > <mailto:brian at bstinson.com>> wrote: > > __ > On Fri, Sep 4, 2020, at 14:26, Mason Loring Bliss wrote: >> On Mon, Aug 31, 2020 at 05:28:58PM -0400, Jonathan Billings wrote: >> >> > This is pretty

I have 3 years of experience with R and have an interest in becoming a better programmer so that I might someday be able to contribute packages. Other than R, my only experience was taking Lisp from Daniel Friedman in the 1970's. I would like to learn either C or C++ for several reasons: To gain a better concept of object oriented programming so that I can begin to use S4 methods in R. To

For expats from other languages, what''s the next best step after the Agile Web Dev book: Rails Recipes or Ruby for Rails? Thanks, -- Austin -- Posted via http://www.ruby-forum.com/.

...cases. R always uses lazy evaluation. (Folks, correct me if I am wrong here, but I think this was what caused Martin's function plot.step() to behave differently under R and S.) Lexical scoping allows using function closures and maintaining local state. A simple example (taken from Abelson and Sussman) can be found in the `demos/language' subdirectory of the R distribution. Further information is provided in the standard R reference ``R: A Language for Data Analysis and Graphics'' (see question ``Which Documentation Exists for R?'') and a paper on ``Lexic...

...umped S> n <- 3 S> cube(2) [1] 18 In R, the ``environment'' created when cube() was invoked is also looked in: R> cube(2) [1] 8 Lexical scoping allows using function closures and maintaining local state. A simple example (taken from Abelson and Sussman) can be found in the `demos/language' subdirectory of the R distribution. Further information is provided in the standard R reference ``R: A Language for Data Analysis and Graphics'' (see question ``Which Documentation Exists for R?'') and a paper on ``Lexic...

...umped S> n <- 3 S> cube(2) [1] 18 In R, the ``environment'' created when cube() was invoked is also looked in: R> cube(2) [1] 8 Lexical scoping allows using function closures and maintaining local state. A simple example (taken from Abelson and Sussman) can be found in the `demos/language' subdirectory of the R distribution. Further information is provided in the standard R reference ``R: A Language for Data Analysis and Graphics'' (see question ``Which Documentation Exists for R?'') and a paper on ``Lexic...

...an extra parameter to the function and to the optimizer to pass in these extras, which however can only work if the optimizer supports this (and typically, the builtin ones do not). Lexical scoping allows using function closures and maintaining local state. A simple example (taken from Abelson and Sussman) can be found in the `demos/language' subdirectory of the R distribution. Further information is provided in the standard R reference ``R: A Language for Data Analysis and Graphics'' (see question ``Which Documentation Exists for R?'') and a paper on ``Lexic...

...an extra parameter to the function and to the optimizer to pass in these extras, which however can only work if the optimizer supports this (and typically, the builtin ones do not). Lexical scoping allows using function closures and maintaining local state. A simple example (taken from Abelson and Sussman) can be found in the `demos/language' subdirectory of the R distribution. Further information is provided in the standard R reference ``R: A Language for Data Analysis and Graphics'' (see question ``Which Documentation Exists for R?'') and a paper on ``Lexic...

...an extra parameter to the function and to the optimizer to pass in these extras, which however can only work if the optimizer supports this (and typically, the builtin ones do not). Lexical scoping allows using function closures and maintaining local state. A simple example (taken from Abelson and Sussman) can be found in the `demos/language' subdirectory of the R distribution. Further information is provided in the standard R reference ``R: A Language for Data Analysis and Graphics'' (see question ``Which Documentation Exists for R?'') and a paper on ``Lexic...

...an extra parameter to the function and to the optimizer to pass in these extras, which however can only work if the optimizer supports this (and typically, the builtin ones do not). Lexical scoping allows using function closures and maintaining local state. A simple example (taken from Abelson and Sussman) can be found in the `demos/language' subdirectory of the R distribution. Further information is provided in the standard R reference ``R: A Language for Data Analysis and Graphics'' (see question ``Which Documentation Exists for R?'') and a paper on ``Lexic...