aNONradio

Thank you for answering my questions on your "lisp y gopher" #aNONradio program. It's true that answers to Five Questions are encouraged, and appended to my page, when I think of it. I listened this afternoon/evening. I understand woollens being expensive, but when maintained well, they can be durable too. Too many goods are being supplanted by cheaper, disposable, synthetic substitutes, harming us and our environment.

Way to amass awareness!

Juan links to someone with a bunch of common lisp deep learning FFIs to the usual suspects https://gitlab.common-lisp.net/users/cungil/projects

Everyone should connect at https://lemmy.sdf.org/c/lisp

since that forum is not and will not be commercially owned or tied with proprietary garbage (aws, discord, tiktok, youtube, whatever) whereas other non-reddits seem to have links to those things. SDF is also slightly older than me, and hence arguably mature.

@rwxrwxrwx@mathstodon.xyz Juan M. Bello-Rivas https://sr.ht/~jmbr/cl-buchberger/ ; Common Lisp Object System based polynomial-ring math

• great use of defmethod to handle different useful notions of * / + - , and very powerful LOOP facility.
• wonderful to have this common lisp native math package
• (implementing buchberger's algorithm to compute a polynomial's Groebner basis, which exposes many of the polynomials properties obviously)
• package-wise.. The native package is purely native, and uses the old fashioned packaging idiom (package.lisp) in a source module, but
• • the test package uses #:fiasco which extends uiop:define-package and (secretly, I guess) uses/implies the :package-inferred-system idiom for tests.
• • So because Juan is also using #:fiasco I think both sides could benefit from asdf's :package-inferred-system, though this would mean lots of uiop:define-package :mix ing of separate files, and the usefulness of :module is subsumed into :package-inferred-system as well.

Carlos Ungil’s usual-suspects deep learning FFIS https://gitlab.common-lisp.net/users/cungil/projects

• Carlos Ungil has done exactly the greatest thing.
• (Though once again with old fashioned packaging)
• Depends on lisp's common cffi package
• Since R libraries are fundamentally actually C libraries exposed in the R scripting language, Carlos has simply captured the underlying C libraries and built them into lisp using #:cffi , and done this for a variety of C libraries including both vendor-ish ones like tensorflow, and R's underlying Rmath package.

The indomitable artist @prahou@bsd.network has created forbidden alchemy gopher - links2 alchemy https://bsd.network/@prahou/110578548848852719