moelf

12 ms·

181.
by moelf 4y ago
https://github.com/MilesCranmer/SymbolicRegression.jl
182.
by moelf 4y ago
All platform is a lie, IIRC a long time ago they actually promised a Linux version, but never realized that.
183.
by moelf 4y ago
you're right and it's a pain point for YEARS https://forum.affinity.serif.com/index.php?/topic/42372-file...
184.
by moelf 4y ago
>languages defined by a standard, not by a single implementation. any of the IronPython, Cython, Jython worked well enough to be continued and works well with the rich CPython ecosystem 100%?
185.
by moelf 4y ago
yeah general chicken and egg problem but I guess if we don't collectively take a bit of initiative, we can never have better things!
186.
by moelf 4y ago
because that's way too expensive? if you follow every Programming@ on every public instance and nobody is doing the centralized data distribution, you have a all-to-all situation?
187.
by moelf 4y ago
Julia packaging scene has the unique advantage that it handles binary dependency (building and versioning) just like a regular Julia package. For example, CUDA.jl will "just work", and you don't need to manually install some
188.
by moelf 4y ago
>This is all according to a major new report published on Thursday 20 October 2023 by an international collaboration led by the University of Sussex, future is here!
189.
by moelf 4y ago
https://huijzer.xyz/posts/recommend/
190.
by moelf 4y ago
it's called JIT, comparing to R, it probably would speed up some moderately complex calculation by 100x to 1000x, but if you don't have the type of workload, feel free to use R -- people should use whatever suits them the best!
191.
NASA engineer seen using Framework laptop(twitter.com)
1 points by moelf 4y ago|0 comments
192.
by moelf 4y ago
Op here, I'd also like to say I blame this on Python's lack of broadcasting syntax, (dot in Matlab and Julia) Which forces Numpy to be designed in a way to automatically broadcast, guessing what user wants is hard in nested contai
193.
by moelf 4y ago
Julia
194.
by moelf 4y ago
when built-in array type is not performant nor serves as an interface (abstract class), it's as if it doesn't exist. I guess the point is Numpy predates Python's array by a long shot. Compare and contrast with languages with
195.
by moelf 4y ago
that's what I'd go for, throw more errors when `__contains__` is called with ambiguity. but, cough , mature and stable scientific computing foundation?
196.
Numpy is absurd(gist.github.com)
102 points by moelf 4y ago|50 comments
197.
by moelf 4y ago
https://www.programmingfonts.org/#julia-mono FTW
198.
by moelf 4y ago
"not bad" is a weird bar to cross for a language that: 1. decided generics is not needed 2. went on for a decade 3. implemented a version of it that is not performance-sensitive 3.5. $$ by google
199.
by moelf 4y ago
I wish the effort is united between dt and rt (and maybe digiKam for management), then we'd have a Blender-level competitor against LightRoom maybe
200.
by moelf 4y ago
I mean: https://github.com/vim/vim/graphs/contributors https://github.com/neovim/neovim/graphs/contributors technically yes (by others too), but relatively, it's
201.
by moelf 4y ago
IIRC one of the main reasons to split is because Vim is a one-person effort, they don't take PR and they didn't want the drastic change, so Neovim had to be a fork because there's no way to convince Vim author to take changes
202.
by moelf 4y ago
maybe... Lua? /s
203.
by moelf 4y ago
at least in Julia you have `@code_warntype`, JET.jl, `@benchmark`, and the language being dynamic also helps a lot.
204.
by moelf 4y ago
I love Julia so much and I almost exclusively do my physics research in Julia (modulo the time I need to help with C++ legacy stuff) So I want to raise this caveat as a Julia lover: the love% is highly correlated to why people are using the
205.
by moelf 4y ago
>aside from performance magic. It seems so klunky to actually use what's the interface magic in Python? Class inheritance? I suppose you know that multi-dispatch is basically strictly more generic than Class-based OOP, so if you wan
206.
by moelf 4y ago
IIRC both Oxygen and Genie use HTTP.jl
207.
by moelf 4y ago
well, Julia is not class-based OOP so it's kind of Unix like where packages does one thing right and you just compose them or someone makes a meta package that compose them
208.
Framework laptop to provide hi-force hinge replacement(community.frame.work)
3 points by moelf 4y ago|0 comments
209.
Top500: Exascale Is Officially Here with Debut of Frontier(hpcwire.com)
1 points by moelf 4y ago|0 comments
210.
by moelf 4y ago
Xperia 5 III

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