#julialang
These are public posts tagged with #julialang. You can interact with them if you have an account anywhere in the fediverse.
@chrisrackauckas@fosstodon.orgNew blog post: Machine learning with hard constraints: Neural Differential-Algebraic Equations (DAEs) as a general formalism.
#sciml #ai4science #hardconstraints #neuralnetworks #dae #acausal #modelingtoolkit #julialang #modelica
We recently released a new manuscript Semi-Explicit…
Stochastic LifestyleCurator: @jonthegeek
https://DSLC.io welcomes you to week 22 of #TidyTuesday! We're exploring Project Gutenberg!
https://tidytues.day/2025/2025-06-03
https://www.gutenberg.org/about/background/50years.html
Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
You saw or you made something related to #QuartoPub #Quarto either with #ObservableJS, #RStats, #Python or #JuliaLang?
You want it to be seen/shared?
Please submit a suggestion issue to #AwesomeQuarto
PS: if you like this list, star it and share it 
https://github.com/mcanouil/awesome-quarto?tab=readme-ov-file
A curated list of Quarto talks, tools, examples & articles!…
GitHub @chrisrackauckas@fosstodon.orgNew blackbox global optimization benchmarks shows that the #julialang BlackBoxOptim.jl (BBO) outperforms the classic C-based NLopt on a wide array of difficult optimization problems.
See the benchmarks for more details: https://docs.sciml.ai/SciMLBenchmarksOutput/dev/GlobalOptimization/blackbox_global_optimizers/
I'm a big fan of minimal working examples (MWEs). They're so concise, clear, and educational, making them incredibly student-friendly.
“How chaotic is #chaos?”
Instructive and fascinating article by @chrisrackauckas, the main developer of the amazing #julialang package DifferentialEquations. The shadowing lemma is the most interesting thing I’ve learned about this week!
@chrisrackauckas@fosstodon.orgEarn money working on open source software #oss! New project just posted: help make wrappers to connect Symbolics.jl to SymPy. $300 bounty. Information for signing up for the #SciML small grants program are contained in the link:
https://sciml.ai/small_grants/#create_wrapper_functions_to_sympy_for_symbolicsjl_300
#MathWorks server issues have persisted for days, affecting licensing and downloads. This highlights how dependent many academic workflows are on proprietary systems.
Consider alternatives that remain available regardless of vendor status:
Julia – built for numerical computing Python – widely used, with strong scientific libraries
Both are open-source and resilient.
@kevinmoerman@fediscience.orgI often find myself having to explain stress derivation from hyperelastic formulations to research students. And I also have to explain the difference between constrained/coupled/uncoupled formulations a lot.
So I've been creating an #opensource educational resource on this here:
https://github.com/Kevin-Mattheus-Moerman/NonlinearContinuumMechanics
It has now been extended with a #Pluto notebook showing the equations as well as a #Julialang numerical implementation.
I've also added the source for a fun companion presentation to show "the anatomy" of the Ogden hyperelastic formulation.
@chrisrackauckas@fosstodon.orgNew blog post: How chaotic is chaos? How some AI for Science / SciML papers are overstating accuracy claims.
Just how chaotic are chaotic systems? Many of you may…
Stochastic LifestyleCurator: @jonthegeek
https://DSLC.io welcomes you to week 21 of #TidyTuesday! We're exploring Dungeons and Dragons Monsters (2024)!
https://tidytues.day/2025/2025-05-27
https://www.dndbeyond.com/posts/1949-you-can-now-publish-your-own-creations-using-the
Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
The latest form of the entry point used in small Julia binaries
https://discourse.julialang.org/t/how-to-use-juliac-jl/123024/21?u=jbytecode
Streamline your workshops with GitHub Codespaces & Quarto!
Skip setup headaches and dive into live, interactive sessions that make teaching a breeze.
Discover how in our latest guide.
https://quarto.org/docs/blog/posts/2025-05-19-quarto-codespaces/
#GitHubCodespaces #Quarto #Python #JuliaLang #RStats #Workshop
In this post, I’ll teach you the basics of GitHub Codespaces…
QuartoCurator: @jenrichmondPhD
https://DSLC.io welcomes you to week 20 of #TidyTuesday! We're exploring Water Quality at Sydney Beaches!
https://tidytues.day/2025/2025-05-20 https://www.abc.net.au/news/2025-01-10/pollution-risks-in-sydney-beaches-contaminated-waterways-rain/104790856
Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
@kevinmoerman@fediscience.orgWhoopsy
(setting to levelset value too low for a Gyroid shell reconstruction leads to a crummy mess)
@kevinmoerman@fediscience.orgAnd, yep it works for the Batman curve too. Always an important test.
The left image shows interior triangulation and right image shows exterior triangulation. In both cases the algorithm computes angles on the input boundary segments (blue curve) and creates triangles where the angle is smallest and below a threshold. Next the boundary is updated to include the new line segment introduced by the new triangle, and the point "skipped" by adding this triangle is removed from the boundary list. The process continues until there are no more triangles to add. Here I set the threshold to 180 degrees so you get a fully triangulated state.
It's #TidyTuesday y'all! Show us what you made on our Slack at https://dslc.io/join (find the #chat-tidytuesday channel)!
RT @jonthegeek https://fosstodon.org/@jonthegeek/114495140398991265
Julia v1.12.0-beta3 is out