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I've turned one of my teaching modules in #Paleontology into an #OER. It's only one single lab, but many more are waiting to be OER-ised... therefore I really need your input to avoid future mistakes.
https://github.com/EmiliaJarochowska/Yankovich_cave/
Thanks to the feedback (shoutout to @leouieda and @JMMaok) I knew this:
✅ Must be editable
✅ Must include rubric
✅ Must include an example: I included a possible solution but without an essay, just the code. Now in #Rlanguage but #Python and #JuliaLang will follow.
The most watershed decision was to use #Quarto for everything to make it editable and renderable using Open Source tools and to make it version control-compatible. For people not familiar with #Quarto this may be a barrier?
Not sure what a good alternative would be. #OpenPedagogy
GitHub - EmiliaJarochowska/Yankovich_cave: Reconstruction of Pleistocene climate based on assemblages of mammal microfossils from a cave in Hungary
Reconstruction of Pleistocene climate based on assemblages of mammal microfossils from a cave in Hungary - GitHub - EmiliaJarochowska/Yankovich_cave: Reconstruction of Pleistocene climate based on ...GitHub
https://discourse.julialang.org/c/jobs/jobs/
Jobs
A place to ask for or offer paid help on Julia related jobs, by contract or otherwise.Julia Programming Language
I'm very happy to announce that we now have an opening for a Research Software Engineer (RSE) at the Royal Military Academy in #Brussels
We are looking to hire someone with a #PhD for this position, #julialang experience is a big plus.
Details at: https://www.rma.ac.be/en/research-software-engineer-mfx
Not because we don't compare well (our worst speedup so far is 5x, our best is of the order of 10⁵x).
But because benchmarks assume that we all want the same thing, and this thing is speed. This is not true.
GitHub - PoisotLab/NCBITaxonomy.jl: Wrapper around the NCBI taxonomy files
Wrapper around the NCBI taxonomy files. Contribute to PoisotLab/NCBITaxonomy.jl development by creating an account on GitHub.GitHub
A 100% Julia implementation of the #rstats {tidyverse}. Powered by the DataFrames.jl package and Julia’s meta-programming capabilities.
https://github.com/kdpsingh/Tidier.jl
Still a work in progress.
Tidier.jl currently supports many of the core tidyverse functions. Because the package implements a non-standard domain-specific language (i.e., tidyverse) within Julia, it requires macros instead of plain functions, which is why all of the functions start with a "@".
GitHub - kdpsingh/Tidier.jl: 100% Julia implementation of the R tidyverse mini-language
100% Julia implementation of the R tidyverse mini-language - GitHub - kdpsingh/Tidier.jl: 100% Julia implementation of the R tidyverse mini-languageGitHub
the increasing complexity of computer programs
after looking at various files written in several different programming languages, i was even more confused.
i couldn't tell you if julia code runs through lli, llc, the femptolisp vm, a custom bytecode, some combination of these, or something else entirely.
with everything abstracted away so much, all documentation tells you about is how to use a tool, and nothing about how it works.
it's hard to express the difference between something like plan9 where you can easily find and change a single line of code to make the system do what you want, and something like this.
#julialang #progamming