[HN Gopher] How the strengths of Lisp facilitate complex and fle...
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       How the strengths of Lisp facilitate complex and flexible
       applications (2016)
        
       Author : MonkeyClub
       Score  : 42 points
       Date   : 2025-01-21 17:54 UTC (5 hours ago)
        
 (HTM) web link (pmc.ncbi.nlm.nih.gov)
 (TXT) w3m dump (pmc.ncbi.nlm.nih.gov)
        
       | fuzztester wrote:
       | Nice high level overview wuth some case studies briefly
       | described.
        
       | EncomLab wrote:
       | If we are living in a simulation, you can be sure it is
       | programmed in Lisp - that's why using it feels so magical, it's a
       | glimpse behind the veil.
        
         | tromp wrote:
         | https://xkcd.com/224/
        
       | CreRecombinase wrote:
       | R was heavily inspired by scheme, and I think that's a big part
       | of why it's so popular in the scientific community (it's a great
       | language for authoring DSLs). In fact, DSLs are so good in R that
       | lots of midwit CS bros love to dunk on R the language, not
       | realizing that what they're complaining about is in fact some
       | library function. I like to tell people that R is "scheme on the
       | streets, FORTRAN in the sheets". Just like Clojure deviated from
       | I think R was very much developed as a Lisp designed to
       | facilitate complex and flexible scientific applications (with an
       | emphasis on statistical computing). I think you could develop a
       | compelling analogy that Clojure:JVM::R:Numerics-oriented
       | C/FORTRAN
        
         | wrycoder wrote:
         | From TFA, _...the creator of the R programming language, Ross
         | Ihaka, who provided benchmarks demonstrating that Lisp's
         | optional type declaration and machine-code compiler allow for
         | code that is 380 times faster than R and 150 times faster than
         | Python_
        
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       (page generated 2025-01-21 23:02 UTC)