Curator: @jonthegeek
https://DSLC.io welcomes you to week 31 of #TidyTuesday! We're exploring Income Inequality Before and After Taxes!
https://tidytues.day/2025/2025-08-05
https://ourworldindata.org/income-inequality-before-and-after-taxes
Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
Onwards!
(And now we gotta bring all those packages to Tidier.jl for #julialang)
a man says just typing r code ...
We are an #rstats lab now. Still a #julialang dev, but we are officially exiting the Python-first mindset after a year of trying to make it work for our lab.
@tartley progress report on my experiment. I have been religiously interacting with #Python only via #uv. No installing outside of uv environments. Then I had to interact with some projects using poetry. So I also had Python installed by Poetry. Are these the same binaries or not? I haven't investigated. Uv would likely re-use the ones installed by Poetry. Does it work the other way round? Probs not. Anyways, this remains a virgin system, because I haven't had any #julialang, #Jupiter or #Quarto on it yet - they're bound to be needed at some point and then it may break the harmony. Or just someone showing up with a good ol' pipenv. But at least starting from uv seems to delay the chaos.
@bioinfhotep I know as much as you do, and I hope something will pop up. But given posit and #julialang it'd going to be hard to carve out a space for a viable language.
BBJ (Big Book of Julia) now contains more than 1600 entries. Feel free to add new ones 
New blog post on the inspiration for a new Julia package I am writing.
The package will address the optimization based design of heat exchanger networks for process integration (energy use reduction). The optimization will be based on decision variables defined on the basis of visualisation of hot and cold streams in a process.
The blog post illustrates the concepts using gnuplot src blocks in org mode in Emacs and highlights a nice feature of code reuse in org mode. There is also a small example of the use of Emacs Calc to do some algebra.
The plan is to have a series of blog posts as the code is developed. This is the first in the series.
#HeatExchangerNetworkDesign #HeatExchangerNetworkSynthesis #HENS #Optimization #ProcessOptimization #ProcessIntegration #visualization #Emacs #Calc #EmacsCalc #orgmode #gnuplot #JuliaLang #blog
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/114931178078345883
https://DSLC.io welcomes you to week 30 of #TidyTuesday! We're exploring What have we been watching on Netflix?!
https://tidytues.day/2025/2025-07-29
https://about.netflix.com/en/news/what-we-watched-the-first-half-of-2025
Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
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: https://doi.org/10.1007/s11004-011-9346-5).
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.
New paper on fitting #neuroscience models to neuroimaging and electrophysiological data! We show that the previous techniques within the field (Spectral DCM) can be greatly improved using automatic differentiation, #julialang #sciml, ModelingToolkit, and more.
This demonstrates how the optimization and Bayesian estimation of the Julia SciML tooling could be the tool analyzing your fMRIs in the near future!
See the link for the full paper: https://direct.mit.edu/imag/article/doi/10.1162/IMAG.a.88/131630/Increasing-spectral-DCM-flexibility-and-speed-by
Stumbled across a neat blog post. Nice tutorial-y bit on why people might like the (what I think of as) CLOS style of generics not owned by classes plus multiple dispatch! I don't think I was solidly aware that #JuliaLang used that model (I think I'd heard about it once but not connected up the knowledge). https://www.oxinabox.net/2020/02/09/whycompositionaljulia.html
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/114891538593802296
Curator: @jonthegeek
https://DSLC.io welcomes you to week 29 of #TidyTuesday! We're exploring MTA Permanent Art Catalog!
https://tidytues.day/2025/2025-07-22 https://www.mta.info/agency/arts-design/permanent-art
Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
Para no gastarme 400 €, estoy mirando emuladores de MSX.
Me ha dejado 
el enterarme que en Japón salió al mercado MSX-Basic Kun. Permitía marcar secciones de código dentro de un programa en Basic. Al ejecutar el programa, compilaba esas partes y ejecutaba el programa con lo que se ganaba mucha velocidad sin tener que hacer prácticamente cambios. Comodidad del basic y rapidez del programa compilado, ¡décadas antes de Julia!
A ver si puedo probarlo.
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!
https://sciml.ai/news/2025/07/20/sciml_small_grants_year_one_success/
Testing out "Natural Neighbour" interpolation of non-gridded/scattered 3D data. If only there was a fun boundary curve with some sharp features that I could use to test these methods.
https://en.wikipedia.org/wiki/Natural-neighbor_interpolation
See the nice package by Daniel VandenHeuvel: https://github.com/DanielVandH/NaturalNeighbours.jl
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?
