#julialang — Public Fediverse posts

Tiobe Index May 2026:

"Meanwhile, the newer statistical language Julia has struggled for years to establish itself as a stable top-30 language despite strong technical merits and growing academic interest."

#JuliaLang :julia:

https://www.tiobe.com/tiobe-index/

#NeuroAnalyzer v0.26.5 has been released

repository: https://codeberg.org/AdamWysokinski/NeuroAnalyzer.jl

changelog: https://neuroanalyzer.org/changelog.html

#EEG #julia #julialang

Curator: @nrennie
https://DSLC.io welcomes you to week 19 of #TidyTuesday! We're exploring Twinned Cities!

📂 https://tidytues.day/2026/2026-05-12
📰 https://bothness.github.io/twin-cities/

Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

Put together a #Julialang monitoring script to keep an eye on gradient norm spikes in ONT basecalling model training. Need to figure out if I can afford another epoch and if learning rate needs to decrease.

All done on my phone while on a warehouse shift coffee break! What a world.

#bioinformatics #ONT

Put together a #Julialang monitoring script to keep an eye on gradient norm spikes in ONT basecalling model training. Need to figure out if I can afford another epoch and if learning rate needs to decrease.

All done on my phone while on a warehouse shift coffee break! What a world.

#bioinformatics #ONT

Put together a #Julialang monitoring script to keep an eye on gradient norm spikes in ONT basecalling model training. Need to figure out if I can afford another epoch and if learning rate needs to decrease.

All done on my phone while on a warehouse shift coffee break! What a world.

#bioinformatics #ONT

Put together a #Julialang monitoring script to keep an eye on gradient norm spikes in ONT basecalling model training. Need to figure out if I can afford another epoch and if learning rate needs to decrease.

All done on my phone while on a warehouse shift coffee break! What a world.

#bioinformatics #ONT

Curator: @fosstodon.org/@nrennie
https://DSLC.io welcomes you to week 18 of #TidyTuesday! We're exploring Italian industrial production!

📁 https://tidytues.day/2026/2026-05-05
🗞️ https://seriestoriche.istat.it/fileadmin/documenti/14_History_Industry.pdf

Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

Curator: @jonthegeek
https://DSLC.io welcomes you to week 17 of #TidyTuesday! We're exploring US Agricultural Tariffs!

📁 https://tidytues.day/2026/2026-04-28
📰 https://ers.usda.gov/sites/default/files/_laserfiche/publications/102980/ERR-304.pdf?v=13480

Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

Studyng concurrent programming is essential for software developers. I deeply studied Android Asynctask many years ago and I found it's an implementation of Half Sync Half Async concurrent design pattern. Fast forward to 2026, and the same pattern I have implemented using Julia. Here's my write-up.
Read ON...
https://som-itsolutions.blogspot.com/2026/04/half-sync-half-async-design-pattern.html

#SystemDesign
#Concurrency
#SoftwareArchitecture
#Programming
#FOSS
#julialang
#Android

https://DSLC.io welcomes you to week 16 of #TidyTuesday! We're exploring Global Health Spending!

📁 https://tidytues.day/2026/2026-04-21
🗞️ https://data.one.org/analysis/out-of-pocket-health-burden

Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

Curator: @jonthegeek
https://DSLC.io welcomes you to week 15 of #TidyTuesday! We're exploring Bird Sightings at Sea!

📁 https://tidytues.day/2026/2026-04-14
🗞️ https://obis.org/dataset/29ea15ed-8f76-40ca-bd14-58c62e10b2ef

Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

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 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 manifest #guix shell --emulate-fhs allows #julialang and quarto to run just fine. So he can edit his document and then at the terminal type #quarto render document.qmd and it runs julia and renders to pdf via typst.

RE: https://floss.social/@rdnielsen/116365121149129752

The third and last of the series on unmixing using NMF is now posted at

https://dblog.vitumbre.tech/dart/unmixing-using-nmf-part-3-assessing-accuracy-of-end-members/

Part 3 illustrates the variability of results that can occur when repeatedly unmixing the same data set, and presents approaches to addressing the resultant uncertainty.

#DataAnalysis #DataExploration #Unmixing #NMF #Python #JuliaLang #RStats

RE: https://floss.social/@rdnielsen/116363795536617194

Part 2 of this series on unmixing is now available:

https://dblog.vitumbre.tech/dart/unmixing-using-nmf-part-2-evaluating-the-number-of-end-members/

Part 2 addresses the challenge of deciding how many end members are in a data set, recommends algorithms for Python, Julia, and R, and illustrates how several factors affect that determination.

#DataAnalysis #DataExploration #Unmixing #NMF #Python #JuliaLang #RStats

I just posted part 1 of a 3-part series on unmixing of data sets using non-negative matrix factorization.

https://dblog.vitumbre.tech/dart/unmixing-using-non-negative-matrix-factorization-nmf-part-1-introduction-and-implementation/

Part 1 contains implementations in Python, Julia, and R, and includes an assessment of the relative accuracy of these implementations.

Parts 2 and 3 will follow shortly, and will contain more detail on the identification of, and accurate characterization of, unmixing end members.

#DataAnalysis #DataExploration #Python #JuliaLang #RStats #Unmixing #NMF

https://DSLC.io welcomes you to week 14 of #TidyTuesday! We're exploring Repair Cafes Worldwide!

📁 https://tidytues.day/2026/2026-04-07
📰 https://insideclimatenews.org/news/11112025/todays-climate-repair-cafe-consumer-waste/

Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

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

#NeuroAnalyzer v0.26.4 has been released

repository: https://codeberg.org/AdamWysokinski/NeuroAnalyzer.jl

changelog: https://neuroanalyzer.org/changelog.html

#EEG #julia #julialang

https://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

Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

You are developing tools for spatial data science?

Join us at this years workshop for Spatial Data Science across Languages (SDSL) 2026 – Sept 16–17 (+18), Jena, Germany.

Connect R, Python, Julia & more in spatial science.

Apply for on-site participation till end of May 2026.

More infos: https://spatial-data-science.github.io/2026/

Register directly: https://survey.academiccloud.de/f/861612?lang=en

#SDSL #geospatial #julialang #python #R
#SDSL2026
#SpatialDataScience
#OpenSource
#RSpatial
#Geopython
#Juliageo

You are developing tools for spatial data science?

Join us at this years workshop for Spatial Data Science across Languages (SDSL) 2026 – Sept 16–17 (+18), Jena, Germany.

Connect R, Python, Julia & more in spatial science.

Apply for on-site participation till end of May 2026.

More infos: https://spatial-data-science.github.io/2026/

Register directly: https://survey.academiccloud.de/f/861612?lang=en

#SDSL #geospatial #julialang #python #R
#SDSL2026
#SpatialDataScience
#OpenSource
#RSpatial
#Geopython
#Juliageo

You are developing tools for spatial data science?

Join us at this years workshop for Spatial Data Science across Languages (SDSL) 2026 – Sept 16–17 (+18), Jena, Germany.

Connect R, Python, Julia & more in spatial science.

Apply for on-site participation till end of May 2026.

More infos: https://spatial-data-science.github.io/2026/

Register directly: https://survey.academiccloud.de/f/861612?lang=en

#SDSL #geospatial #julialang #python #R
#SDSL2026
#SpatialDataScience
#OpenSource
#RSpatial
#Geopython
#Juliageo

You are developing tools for spatial data science?

Join us at this years workshop for Spatial Data Science across Languages (SDSL) 2026 – Sept 16–17 (+18), Jena, Germany.

Connect R, Python, Julia & more in spatial science.

Apply for on-site participation till end of May 2026.

More infos: https://spatial-data-science.github.io/2026/

Register directly: https://survey.academiccloud.de/f/861612?lang=en

#SDSL #geospatial #julialang #python #R
#SDSL2026
#SpatialDataScience
#OpenSource
#RSpatial
#Geopython
#Juliageo

You are developing tools for spatial data science?

Join us at this years workshop for Spatial Data Science across Languages (SDSL) 2026 – Sept 16–17 (+18), Jena, Germany.

Connect R, Python, Julia & more in spatial science.

Apply for on-site participation till end of May 2026.

More infos: https://spatial-data-science.github.io/2026/

Register directly: https://survey.academiccloud.de/f/861612?lang=en

#SDSL #geospatial #julialang #python #R
#SDSL2026
#SpatialDataScience
#OpenSource
#RSpatial
#Geopython
#Juliageo

https://DSLC.io welcomes you to week 12 of #TidyTuesday! We're exploring One Million Digits of Pi!

📂 https://tidytues.day/2026/2026-03-24
🗞️ https://www.jpl.nasa.gov/edu/news/how-many-decimals-of-pi-do-we-really-need/

Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

#NeuroAnalyzer v0.26.3 has been released

repository: https://codeberg.org/AdamWysokinski/NeuroAnalyzer.jl

changelog: https://neuroanalyzer.org/changelog.html

#EEG #julia #julialang

Join us for a Dyad Modeling Livestream today - this time at 1pm ET / 10 am PT! Michael Tiller will joining us today to model a hybrid-EV powertrain!

Tune in on YouTube and send us your thoughts in the chat!

https://www.youtube.com/watch?v=qLfV4K2Y4NE

#sciml #julialang #dyad

Could we get that #julialang thang for #positron already? I just want to experience it in a warm, comfortable space that I’m familiar with, and that has a better DS-vibe than standard VS Code.

RE: https://bsky.app/profile/did:plc:kq4paxwakxpqlbuuom7jlfjz/post/3mfhyo2yq6s25

If you’re an #rstats user who likes pipes but is simultaneously anti-pipe in their beliefs, #julialang has pipeless pipes. #flamewar

If you’re an #rstats user who likes pipes but is simultaneously anti-pipe in their beliefs, #julialang has pipeless pipes. #flamewar

If you’re an #rstats user who likes pipes but is simultaneously anti-pipe in their beliefs, #julialang has pipeless pipes. #flamewar

If you’re an #rstats user who likes pipes but is simultaneously anti-pipe in their beliefs, #julialang has pipeless pipes. #flamewar

If you’re an #rstats user who likes pipes but is simultaneously anti-pipe in their beliefs, #julialang has pipeless pipes. #flamewar

New fastest explicit non-stiff ODE solver? That's right, we now have something beating the pants off of the high order explicit RK methods! Check out the new symbolic-numeric optimized Taylor methods available in DifferentialEquations.jl! It uses a mix of Taylor-Mode AD, a symbolic post-processing trick, and a new order adaptivity algorithm to give a new level of performance.

See the paper: https://arxiv.org/abs/2602.04086

#julialang #diffeq #sciml

Fresh WIP piece of #Archaea #phylogenetics data for a collaborator.

Those barplot margins are driving me crazy - it's actually throwing off the immediate impression of the data! (pink bars are essentially all 1/2 or less of the orange bars, which is pretty important in context) I really need to buckle down and get to hand-coding my trees from scratch using #rlang or #julialang soon.

Hmm. How's Julia ecosystem for phylogenetic trees these days?

#microbiology #bioinformatics

#JuliaCon 2026 will have a minisymposium on "Julia, GPUs, and Accelerators" hosted by Julian Samaroo, Tim Besard, and @vchuravy find out more on https://pretalx.com/juliacon-2026/talk/UPRSQL/ and submit your talks through the Call for Proposals https://juliacon.org/2026/cfp/ until Feb 28th!

#julialang #cuda #rocm #opencl #gpu

I made a small wrapper library for reading slow5/blow5 files in #julialang based on the C slow5lib. If anyone working with #nanopore sequencing is interested, you can find it here: https://codeberg.org/mzdravkov/Slow5.jl

I made a small wrapper library for reading slow5/blow5 files in #julialang based on the C slow5lib. If anyone working with #nanopore sequencing is interested, you can find it here: https://codeberg.org/mzdravkov/Slow5.jl

Julia+Unitful is super nice for quick calculations on numbers with units. No more accidental unit conversion errors. Free sanity check by including units in calculations. Works well with other packages.

If you include Unitful.DefaultSymbols your code looks beautiful. But be careful because most single and double letter names are then bound to units.

Best to create a shared environment @units (@ = shared) and activate it any time you need to do fast #repl calculations.

#julialang #programming

Julia+Unitful is super nice for quick calculations on numbers with units. No more accidental unit conversion errors. Free sanity check by including units in calculations. Works well with other packages.

If you include Unitful.DefaultSymbols your code looks beautiful. But be careful because most single and double letter names are then bound to units.

Best to create a shared environment @units (@ = shared) and activate it any time you need to do fast #repl calculations.

#julialang #programming

Julia+Unitful is super nice for quick calculations on numbers with units. No more accidental unit conversion errors. Free sanity check by including units in calculations. Works well with other packages.

If you include Unitful.DefaultSymbols your code looks beautiful. But be careful because most single and double letter names are then bound to units.

Best to create a shared environment @units (@ = shared) and activate it any time you need to do fast #repl calculations.

#julialang #programming

Julia+Unitful is super nice for quick calculations on numbers with units. No more accidental unit conversion errors. Free sanity check by including units in calculations. Works well with other packages.

If you include Unitful.DefaultSymbols your code looks beautiful. But be careful because most single and double letter names are then bound to units.

Best to create a shared environment @units (@ = shared) and activate it any time you need to do fast #repl calculations.

#julialang #programming

New livestream, #Dyad Modeling Live! In this stream we built up a thermal model of a room using #AgenticAI and added a heat pump with different control strategies and analyzed the power efficiency. Join the fun live next week! #julialang #sciml

https://youtube.com/live/I542x6gsIs8

How to properly cook your turkey, using agentic AI and #dyad #julialang! Happy Thanksgiving from JuliaHub, hope we can help you with acausal modeling to change your family's holiday!

https://youtube.com/shorts/qv6Qv1xNxxU?feature=share

ANSYS /Synopsys, one of the largest simulation companies in the world, is partnering with JuliaHub in order to bring #Dyad, #Julialang, and #SciML to next level of adoption. We have many things planned. This is how research becomes reality.

https://www.prnewswire.com/news-releases/juliahub-partners-with-synopsys-to-power-sciml-based-digital-twins-302620011.html

#SciML fact of the day: automatic differentiation fails to give the correct derivative on a lot of very simple functions 😱 😱 😱 . #julialang #automaticdifferentiation

https://youtube.com/shorts/KTguZpL9Zz8

Can Agentic AI turn single purpose code into reusable modular code? Dyad's specialized AI can!

Watch our latest video on AI-assisted model restructuring and physics enhancement:
https://www.youtube.com/watch?v=0RdA-t9_Voc

Learn more: https://help.juliahub.com/dyad/stable/

#ModelingAndSimulation #AIAgent #JuliaLang #SciML #Dyad #SystemsEngineering #Modelica

Can Agentic AI turn single purpose code into reusable modular code? Dyad's specialized AI can!

Watch our latest video on AI-assisted model restructuring and physics enhancement:
https://www.youtube.com/watch?v=0RdA-t9_Voc

Learn more: https://help.juliahub.com/dyad/stable/

#ModelingAndSimulation #AIAgent #JuliaLang #SciML #Dyad #SystemsEngineering #Modelica

Can Agentic AI turn single purpose code into reusable modular code? Dyad's specialized AI can!

Watch our latest video on AI-assisted model restructuring and physics enhancement:
https://www.youtube.com/watch?v=0RdA-t9_Voc

Learn more: https://help.juliahub.com/dyad/stable/

#ModelingAndSimulation #AIAgent #JuliaLang #SciML #Dyad #SystemsEngineering #Modelica