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#lisp

33 posts30 participants2 posts today
Replied to Paolo Amoroso

@amoroso The first real personal workstation I saw and touched was quite exotic: a #Symbolics 3600 #Lisp Machine: megapixel screen, ethernet, disk, tape drive, mouse, a few megabytes of tagged 36bit memory with a Lisp CPU with roughly one MIPS speed and a Motorola 68k as a frontend processor. Introduced in 1983.

#lispyGopherClimate #live #technology #weekly #podcast communitymedia.video/w/8RAj7j4
#climateCrisis #haiku by @kentpitman
And The Netherlands' #solar power crisis - @vnikolov

Lots of community news today.
- I have an unuploaded hour of interview with @shizamura about making her #webcomic sarilho.net/en/
- speaking of, @prahou analognowhere.com/
- #lisp constraint satisfaction and my vision of #permacomputing
- #gopher -s, featuring @Cat live
- @sacha #emacsnews + #emacsconf deadline

screwlisp.small-web.org/softwa

Eminently doable #walkthrough of part of Sandewall's 2010 labs 2 and 5 of his #lisp #AI course at the university of Linkoping.

git clone, start lisp, then it solves for locations of a test structure (e.g. some code) satisfying some decision tree constraints.

#logic -al #decisionTree #constraintSatisfaction #satSolver #programming .

See everyone for the live show two hours from now as always on anonradio.net/ .

Did you make your first #softwareIndividual ?

screwlisp.small-web.orgSandewall’s SAT solver implementation Leonardo system example

I wonder why genetic programming so often uses a Lisp-inspired paradigm instead of a Forth-inspired one. They are both extremely simple to implement, but Forth has the advantage of being expressible as a linear sequence, so standard genetic algorithm operators can be used on it. If you find Lisp syntax more readable, it would be easy to translate, since they are both inherently nested.

#GeneticProgramming
#GeneticAlgorithm
#Lisp
#Forth

What is it with #templating languages and math? Does a string-injecting system _really_ need full-blown mathematical operator set? I’m looking at multiple templating langs, and they all seem to be far from an optimal state where the emergent behavior appears:

- #Liquid: No math, relies on #JavaScript and benevolence of #Shopify / #Microsoft

- Liquor (by @whitequark): Includes math and lots of operators in general, too powerful to be interesting

- #Handlebars: require #JS

- #Mustache: No arguments to partials, thus no abstraction and data passing

- Server Side Includes: Have everything I need, but are #Apache -specific in many ways

Uuuuuuugh. I would’ve gone with either of these for my website and day-to-day programming, but I don’t want to commit to either an explicitly Turing-complete system or non-portable JS-heavy one.

I guess I’m still staying with #ed (1) until the state of templating improves. Or until I write a #Lisp version for any of these, likely SSI.

Kaomel is now on #MELPA! 。◕‿◕。

A snappy #kaomoji picker for #Emacs with ~1000 kaomojis, multilingual tags, and support for both Vertico and Helm. No dependencies, pure Emacs #Lisp.

Install: M-x package-install RET kaomel RET

What started as "wouldn't it be nice to pick kaomojis without using the mouse" became a journey of solving interesting problems around dataset extensibility and completion framework flexibility.

Blog post: zwit.link/posts/kaomel-emacs-p

Repo: github.com/gicrisf/kaomel

zwit.linkZwit - Kaomel: a snappy kaomoji picker for EmacsI always liked kaomojis, but I never liked using the mouse to pick an emoji of any kind. Actually, I just don't like using the mouse. So I thought I could access the kaomoji world through Emacs keymag…

Learn C with a Lisp.

One reason Forth remains popular is that it is very simple to create, but also very powerful. But there’s an even older language that can make the same claim: LISP. Sure, some people think that’s an acronym for “lots of irritating spurious parenthesis,” but if you can get past the strange syntax, the language is elegant and deceptively simple, at least at its core….

buildyourownlisp.com/

#lisp#programming#c