Recent searches

No recent searches

Search options

Only available when logged in.
eupolicy.social is one of the many independent Mastodon servers you can use to participate in the fediverse.
This Mastodon server is a friendly and respectful discussion space for people working in areas related to EU policy. When you request to create an account, please tell us something about you.

Administered by:

Server stats:

209
active users

eupolicy.social: AboutProfiles directoryPrivacy policy

Mastodon: AboutGet the appKeyboard shortcutsView source codev4.4.1

#julialang

2 posts2 participants0 posts today
Kevin Moerman 🔓🦿

How am I supposed to get any work done when the maths is so pretty! Look at it flutter by like a butterfly!

This is an animation for "biharmonic spline interpolation" (see also: doi.org/10.1007/s11004-011-934).

I'm testing a Julia implementation here which I'd like to use to interpolate the Z-coordinate for meshes that should span a closed curve domain where the x,y, and z are known. Here I created a circle and manipulated the z-coordinates using z=sin(x+a) where a is a phase offset. Next I animated the change of the phase offset to create the wave like motion.

#geometryprocessing#JuliaLang#Comodo
Emilia Jarochowska 🇺🇦🌱

I'm sure someone has already invented a #python wiper that gets rid of all stray python installations, venvs and package managers. After two versions of poetry, a conda episode (better say: accident), a switch to uv, inconsistent use of pip, pipx and python installs via #homebrew, and installs via miniconda that #julialang and #quarto sneaked up on me, there is absolutely no way to make any path to anything work in any virtual environment and I need a new laptop. So what's the python wiper called?

éric 🚲 🇪🇺 :emacs:

New article published today in the Computers & Chemical Engineering journal: *A multi-agent system for hybrid optimization*. This paper is based on the work presented last year at the European Symposium on Computer Aided Process Engineering (ESCAPE 34) conference.

One key lesson I took away from this work: how easy it is to write efficient and effective multiprocessing code in Julia. And how much fun it is actually. 🙂

#MultiAgentSystem #Agents #Optimization #HybridOptimization #ProcessSystemsEngineering #CAPE #PSE #JuliaLang

doi.org/10.1016/j.compchemeng.

Daniel Lakeland

If you want to get off the ground using up to date #julialang in #guix operating system, see my success at the discourse thread:

discourse.julialang.org/t/juli

Julia Programming Language · Julia via juliaup in GUIXHey all, recently posted about using juliaup in NixOS. Now I’m investigating it in GUIX which is a similar OS but using guile scheme as the configuration language. In GUIX you can run foreign compiled binaries in a container that has a “normal” FHS filesystem hierarchy using guix shell --container --emulate-fhs here’s what’s working for me: log into your machine, and at a minimum guix install curl and add ~/bin to PATH install juliaup using the commands on julialang.org create bin/juliaconta...
Daniel Lakeland

Proud to say that last night before bed I suggested that fitting problems with our migration model might be fixed by switching to a local basis for a certain function. I described the use of compact radial basis functions, and by the time I woke up my student had implemented them in pure #Julialang and said that fits were now fast and seemed good quality. Its great to work with a student with that kind of talent, and a language that enables that kind of rapid exploration.

*
Jonathan Carroll

New post: jcarroll.com.au/2025/06/29/cou

What if you could just wave a magic wand over your R #rstats :rstats: code and have it transform into something that ran as fast as or faster than C? @t_kalinowski's {quickr} 'R to Fortran Transpiler' does that for you! #fortran

With bonus comparisons to #Rcpp #julialang :julia: and #rustlang :rust:

Updated to restrict to integers thanks to @toddixd

Irregularly Scheduled ProgrammingCounting Digits Quickly
More from Jonathan Carroll
Continued thread
Kevin Moerman 🔓🦿

Evaluating of simple #additivemanufacturing cost function metrics (build height, footprint area, support volume, overhang area, ... ). The model is rotated and all metrics are computed, next the sphere is "painted" to show the magnitude of that metric for that orientation (sum of the lengths of the black lines as estimate of support material use). This way the sphere provides a nice summary visualisation of which orientations are best e.g. in terms of minimising support material use.

#geometryprocessing#3dprinting#opensource
TrendingLive feeds
About