#julialang — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #julialang, aggregated by home.social.
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https://DSLC.io welcomes you to week 36 of #TidyTuesday! We're exploring The Cappuccino Index!
📂 https://tidytues.day/2026/2026-09-08
🗞️ https://www.youtube.com/watch?v=WtlE3BW9NqsSubmit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
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https://DSLC.io welcomes you to week 36 of #TidyTuesday! We're exploring The Cappuccino Index!
📂 https://tidytues.day/2026/2026-09-08
🗞️ https://www.youtube.com/watch?v=WtlE3BW9NqsSubmit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
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https://DSLC.io welcomes you to week 36 of #TidyTuesday! We're exploring The Cappuccino Index!
📂 https://tidytues.day/2026/2026-09-08
🗞️ https://www.youtube.com/watch?v=WtlE3BW9NqsSubmit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
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https://DSLC.io welcomes you to week 36 of #TidyTuesday! We're exploring The Cappuccino Index!
📂 https://tidytues.day/2026/2026-09-08
🗞️ https://www.youtube.com/watch?v=WtlE3BW9NqsSubmit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
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https://DSLC.io welcomes you to week 36 of #TidyTuesday! We're exploring The Cappuccino Index!
📂 https://tidytues.day/2026/2026-09-08
🗞️ https://www.youtube.com/watch?v=WtlE3BW9NqsSubmit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
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#Julia_Lang #JuliaLang
Hot takes only! 👇TIOBE Index for September 2026
September Headline: Is Julia going to re-enter the top 20?
https://www.tiobe.com/tiobe-index/Hello @Posit !
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Is Julia going to re-enter the top 20? 🔴🟢🟣
:julia: #JuliaLang
"MATLAB, Julia, Python, and R all have strong roots in numerical computing...both Python and R have taken a significant share of MATLAB’s market, but Julia has certainly claimed part of that pie as well."
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@juliasilge Thanks for your input, Julia. I think your reframing is a meaningful one. Perhaps it might be useful to include that on the Posit website so when others search for the #Julialang extension for #Positron, they will have a more nuanced understanding of the kind of effort and support for Julialang that #Posit has in mind. Thanks for the reframing and helping me see the Julia extension effort in a new light (i.e. the lack of institutional knowledge to robustly support Julia in Positron).
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A bit disappointed that #Positron isn't embracing #Julialang as a native language in their IDE. I think #Julia is a strong contender for exploratory data analysis #EDA. I do appreciate the minor support for a very alpha extension, but it's clear #Posit doesn't have real desire to support Julia. It's a wonderful language!
https://github.com/posit-dev/positron/issues/3679#issuecomment-5145070637
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on a laptop & android tablet, although there is no guarantee we will be able to run #emacs on #android this time next year
i don't sync the feeds, laptop is more focused on #rubylang #julialang & the more techy aspects of #emacs
the android feed is more general science/emacs news/ sports / slashdot
the laptop is used in the evening @ home while the tablet, which doubles as a phone & runs my #orgmode #agenda goes with me during the day.
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I've been working on a small Julia library for working with raw nanopore sequencing signals.
It's still under development and not very mature, but maybe someone may find it useful and want to experiment with it. It provides functionality for signal-to-sequence alignments, basic signal scaling and segmentation, poly(A) tail detection, etc. If you stumble at issues or have ideas for new functionality or feedback, please reach out.
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Curious what Julia coders think of the 1.0 Pluto release. I've tried it in the past and compared it against vscode and #Positron. The long and short of it was that each felt incomplete in one way or another. Hoping to see Positron and Pluto keep maturing for Julia, though it seems that path is on hold for Positron at the moment.
https://discourse.julialang.org/t/pluto-1-0-release/137296?u=jbytecode
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Hard to really appreciate what RStudio does for R until you step outside of it. Positron is nice too, but still feels second-best. One can hope that #julialang and #rstats devs get together to make Julia a 1st class #Positron citizen. I’d make the switch permanently. #RCall #JuliaCall
RE: https://bsky.app/profile/did:plc:35asdziyhgfyzwel3pzyhsvb/post/3missmvpm3c2c -
Some more #work stuff.
Getting an European Research Council (ERC) grant had this terrible outcome that I thought: now we can do in-depth, thoughtful research without cutting corners and ducktape solutions. Understanding #evolution in the #fossil record required a reproducible model representation of that record and we weren't satisfied with any of the existing models. Computer models made by (Earth) scientists are rarely very good, because we are not necessarily trained to make them, but to model events happening over hundreds of thousands of years, we crucially rely on their quality.
So we decided to develop one. Thanks to its main developer Johan Hidding @eScienceCenter and the collaboration with Peter Burgess, Xianyi Liu and @Niklas_Hohmann we have a fast, sustainable, #OpenSource package in #julialang for modeling #carbonate platforms.
The preprint is out for public review: please leave us a comment at https://egusphere.copernicus.org/preprints/2025/egusphere-2025-4561/ or try CarboKitten.jl at https://mindthegap-erc.github.io/CarboKitten.jl/
#geoscience #stratigraphy #sedimentology -
Introducing SymbolicSMT.jl for symbolic constraint solving and theorem proving! Built on Z3, test the feasibility of symbolic expressions built using Symbolics.jl. Given Constraints([x > 0, y > 0, x^2 + y^2 <= 1]), ask issatisfiable? isprovable?
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Earn 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
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SymPy in Julia is actually awesome! It feels more ergonomic to use in Pluto notebook than the native Python package does in Jupyter, which is the opposite of what I expected.
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Looking for tips on how to love #julialang Pluto.jl. So many people enjoy it and I just don't get it. Likely just me as I also dislike #Jupyter notebooks and prefer the "see all and be reproducible" style of #RMarkdown and #Quarto. Why F1 to see keyboard shortcuts. Why clunky Path/URL navigation?