Juliaup release channel now points to v1.12.6‼️
Don't forget to do
$ juliaup self update && juliaup update
#JuliaLang
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Hashtag
#JuliaLang
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In preparation for the next iteration of my data science class, I've made many updates to our #JuliaLang species distribution package. There's now a "Getting started" tutorial that, I think, is pretty good, and is meant to get you started within 20 minutes!
🌏
poisotlab.github.io/SpeciesDistr...
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Explore how to model and analyse steady-state and dynamic systems using Dyad, and see how engineers capture behaviour under changing conditions. //juliahub.com/videos/julia-for-engineers-part-2-modeling-steady-state-and-dynamic-systems
#JuliaLang #Dyad #JuliaForEngineers #Modeling #Engineering
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There is now an ‘official’ VSCode extension for #julialang after the demise of Atom/Juno (see Marketplace).
And now there is a specific Positron extension:
bsky.app/profile/jmcp...
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Explore how Pumas and JuliaHub support cloud-based PK/PD workflows, from building and running projects to sharing analyses and visualisations. juliahub.com/events/easy-...
#julialang #PumasAI #JuliaHub #Pharmacometrics #PKPD #DrugDevelopment
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OK, So progress on getting my son ready to learn Quarto for his term paper project. I have the quarto tar.gz distribution and julia installed via juliaup. Set up a manifest. Included typst in the manifest, and a number of other things. Then outside the container running codium. using the […]
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How do you model a growing satellite swarm as complexity rises? See Dyad tackle communication, architecture, and coordinate logic in a live working session. www.youtube.com/live/YHL_zZY...
#julialang #Dyad #AIModelling #Simulation #SpaceTech #SystemsEngineering
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Really pleased that the model fitting and inference for infectious disease modelling short course is running again this year (7-10th September) at #LSHTM and is now all in #julialang.
www.lshtm.ac.uk/study/course...
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It's #TidyTuesday y'all! Show us what you made on our Slack at https://dslc.io
#RStats #PyData #JuliaLang #RustLang #DataViz #DataScience #DataAnalytics #data #tidyverse #DataBS
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See how the Dyad Agent helps engineers turn requirements into system models, debug issues, validate physics, and automate verification in model-based engineering. juliahub.com/blog/meet-th...
#julialang #Dyad #ModelBasedEngineering #SystemsEngineering #ArtificialIntelligence #Simulation
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Logo for the #TidyTuesday Project. The words TidyTuesday, A weekly data project from the Data Science Learning Community (dslc.io) overlaying a black paint splash.
TidyTuesday is a weekly social data project. All are welcome to participate! Please remember to share the code used to generate your results! TidyTuesday is organized by the Data Science Learning Community. Join our Slack for free online help with R and other data-related topics, or to participate in a data-related book club! How to Participate Data is posted to social media every Monday morning. Follow the instructions in the new post for how to download the data. Explore the data, watching out for interesting relationships. We would like to emphasize that you should not draw conclusions about causation in the data. Create a visualization, a model, a shiny app, or some other piece of data-science-related output, using R or another programming language. Share your output and the code used to generate it on social media with the #TidyTuesday hashtag.
Infographic titled 'Can you fix it?' showing repair success rates (0–100%) for the 100 most common items brought to Repair Cafés between 2015 and 2025. A horizontal dot plot grouped by product category. Non-electric items (like knives, scissors, and bikes) have the highest success rates, with knives and scissors at 98%. Electric appliances, tools, TVs, printers, and phones have lower and more varied success rates. Overall success rate: 62% across 136,000 repairs. Plot credit: Yanika Borg (https://www.linkedin.com/in/yanikaborg/)
@dslc.io welcomes you to week 14 of #TidyTuesday! We're exploring Repair Cafes Worldwide!
📂 https://tidytues.day/2026/2026-04-07
🗞️ insideclimatenews.org/news/11112025/todays-cli...
#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds
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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
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#julialang 😅
“There are also a number of ‘code’ extensions for various editors, such as Notepad++, VIM, Sublime, and Emacs, which highlight the Julia coding syntax, but these are not as powerful as VS Code, and apart from this brief discussion here, their existence will not be dealt with again.”
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Same #rstats #julialang
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This study investigates the possibilities of applying classical MCDM methods to grey numbers by leveraging operator overloading and multiple dispatch features of Julia programming language.
dx.doi.org/10.26650/aci...
#julialang
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Saw this on Twitter/X
AppBundler v1.0 transforms any Julia application into a Snap installer (Linux), MSIX (Windows), or DMG (macOS) without leaving the Julia ecosystem, using cross-platform utilities compiled via Yggdrasil.
#JuliaLang
discourse.julialang.org/t/ann-appbun...
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Implication: #python #c et al were not designed with science and math in mind?
“Array indices in #julialang, as in Fortran and many other languages designed with scientific and mathematical work in mind, start at 1.”
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Coming from the comfort of RStudio #Rstats, learning package and environment management via #julialang has been informative. 1/4
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#NeuroAnalyzer v0.26.4 has been released
repository: https://codeberg.org/AdamWysokinski/NeuroAnalyzer.jl
changelog: https://neuroanalyzer.org/changelog.html
#EEG #julia #julialang
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Julia is quickly becoming the successor to Fortran, once the standard for high-performance computing in science, mathematics, and engineering. It’s powerful and fun to use. Get a solid foundation with a good book:
lee-phillips.org/amazonJuliaB...
#julialang #physics #programming #mathematics
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Explore how Pumas and JuliaHub support scalable, collaborative PK/PD workflows in the cloud, from model development to reporting and visualisation. Register now - juliahub.com/events/easy-...
#julialang #PumasAI #JuliaHub #Pharmacometrics #PKPD #DrugDevelopment #webinar
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We are pleased to announce Quarto 1.9 ✈️
New features for #RStats, #Python, and #JuliaLang users include Posit Connect Cloud publishing, PDF accessibility (PDF/A & PDF/UA), brand asset sync, enhanced #Typst support, list table syntax, and LLM-friendly output.
Learn more: quarto.org/docs/blog/po...
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Explore Julia and Dyad in this recorded webinar, and see how component-based modelling supports simulation and analysis of complex systems. juliahub.com/videos/julia...
#julialang #Engineering #ScientificComputing #TechnicalComputing #SystemsEngineering #DigitalEngineering
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It's #TidyTuesday y'all! Show us what you made on our Slack at https://dslc.io
#RStats #PyData #JuliaLang #RustLang #DataViz #DataScience #DataAnalytics #data #tidyverse #DataBS
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Logo for the #TidyTuesday Project. The words TidyTuesday, A weekly data project from the Data Science Learning Community (dslc.io) overlaying a black paint splash.
TidyTuesday is a weekly social data project. All are welcome to participate! Please remember to share the code used to generate your results! TidyTuesday is organized by the Data Science Learning Community. Join our Slack for free online help with R and other data-related topics, or to participate in a data-related book club! How to Participate Data is posted to social media every Monday morning. Follow the instructions in the new post for how to download the data. Explore the data, watching out for interesting relationships. We would like to emphasize that you should not draw conclusions about causation in the data. Create a visualization, a model, a shiny app, or some other piece of data-science-related output, using R or another programming language. Share your output and the code used to generate it on social media with the #TidyTuesday hashtag.
A photo of the ocean from the shore. Small waves are breaking on a rocky beach in the foreground. The sun is shining from behind a few clouds on the horizon in an otherwise clear blue sky.
@dslc.io welcomes you to week 13 of #TidyTuesday! We're exploring Coastal Ocean Temperature by Depth!
📂 https://tidytues.day/2026/2026-03-31
📰 https://data.novascotia.ca/stories/s/a25g-piws
#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds
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From the DSLC.video aRchives:
🔵 R for Data Science: Numbers youtu.be/KXTa8_58ITQ
🟣 Fundamentals of Numerical Computation: Overdetermined linear systems youtu.be/sW2lV3N28LY
Support the Data Science Learning Community at patreon.com/DSLC
#dataBS #RStats #JuliaLang
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Shipped a new robotics project today: A hardware-aware Search & Rescue Swarm Engine written in #JuliaLang. 🚁⚡
Repo is live! github.com/rainerrodrig...
#Robotics #OpenSource #PathPlanning #Engineering
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Join this live webinar to learn how Dyad and Makie.jl can power interactive dashboards, live model exploration, and richer 3D visualisations.
juliahub.com/videos/inter...
#julialang #Dyad #Makie #JuliaLang #Modeling #DataVisualization
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