On Sun, Feb 21, 2021 at 05:17:59PM +0100, bied...@gmail.com wrote:
> It's 2021, Software is eating the world, people are flocking to Python and
> Javascript mainly, we're swimming in machine learning and AI and serverless
> and what not. In the current times, where do you see the future of Picolisp
On Sun, Feb 21, 2021 at 08:08:26PM +0100, Danilo Kordic wrote:
> LispM ( http://metamodular.com/closos.pdf ).
Nice article! Looks a lot like PilOS, no?
☺/ A!ex
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El lun., 22 feb. 2021 9:31, Alexander Burger escribió:
> ... and immune to temporary hypes.
>
What a nice desire being rejected by history of humankind again and again ;)
Specially in computer science
>
What are you talking about? Troll bait much.
Majority of IT practitioners have really bad knowledge about history of
IT & computer science.
Most things are in popular use solely because they are popular (which
may give legitimate non-technical benefits).
Especially in software long-solved mistake
hallo list,
I always thought a "killer app" would be nice, to make those "killer
features" popular, and I always thought that could be a "data science
application builder" with 3 features:
- easy data import into a Picolisp DB
- ffi/java wrappers for many data science libs (Rmath, Weka, ...)
- ea
Yeah I had kinda similiar ideas, Thorsten.
PicolispDB is certainly a killer feature - multi-paradigm database
(Key-Value, Object, Document, Graph, Relational.. really everything
covered), ACID (transactions), many indexing capabilities (including
text and spatial indexing), performant, extremely f
Yes. CLOSOS assumes Common Lisp.
ATM I am studying Intel N4100 on which to experiment with them.
On Mon, Feb 22, 2021, 09:32 Alexander Burger wrote:
> On Sun, Feb 21, 2021 at 08:08:26PM +0100, Danilo Kordic wrote:
> > LispM ( http://metamodular.com/closos.pdf ).
>
> Nice article! Looks a
Maybe we should sponsor Alex (3 month work?) to build that "killer app"
with the clear goals
- for all those millions of (data) scientists that work with R etc, it
should be the easiest (because fully integrated) way to build applications
on top of their data
- for those who like Picolisp it shoul
