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#julialang

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How successful has the SciML Small Grants program been at getting newcomers to contribute to open source software #oss for #sciml #julialang and #ai4science? Very!

* 13 total projects initiated
* ~90% success rate

See the blog post summary of the first year!

sciml.ai/news/2025/07/20/sciml

sciml.aiSciML: Open Source Software for Scientific Machine LearningOpen Source Software for Scientific Machine Learning

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.

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

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.

When someone says: "There's this great dynamically-typed programming language with a useful and expressive type system, powerful macros and multiple-dispatch that solves the 'two language problem' (meaning that you can quickly and comfortably write a prototype in the language but then also write the fast production version in the same language), that has roots in academia but with uptake in industry, a great interactive coding experience in the REPL (including the ability to show you the assembly code for any function!) and [an] excellent compiler[s]" you don't know if they're talking about #CommonLisp or #JuliaLang until they choose either the plural or singular for the word "compiler"! 😛

Just a bunny rotating according to a uniform set of directions on the sphere. The bunny is colored towards the "overhang" angle with respect to the ground. The black area on the ground is the projection of the bunny onto the ground (a bit like a shadow). This is a simple toy simulation that computes some metrics relevant to the simulation of 3D printing preparation.

I have started a new blog which will present musings on coding for my research in optimization and its application to industrial engineering problems. I code mostly in Julia and always using Emacs.

homepages.ucl.ac.uk/~ucecesf/b

I will post here when new blog posts are posted. I'm hoping to create an RSS feed for the blog in due course.

The blog is written in org mode in Emacs (of course 🙂).

(edited to add actual link 😜)

www.homepages.ucl.ac.ukOptimal configuration