Coming from the comfort of RStudio #Rstats, learning package and environment management via #julialang has been informative. 1/4
3
1
1
0
Hashtag
#Julialang
Advertisement · 728 × 90
#NeuroAnalyzer v0.26.4 has been released
repository: https://codeberg.org/AdamWysokinski/NeuroAnalyzer.jl
changelog: https://neuroanalyzer.org/changelog.html
#EEG #julia #julialang
1
1
0
0
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
3
4
0
0
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
0
0
0
0
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...
36
9
2
0
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
1
0
0
0
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
2
1
0
0
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
8
4
0
1
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
2
1
1
0
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
2
0
1
0
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
3
0
0
0
10
2
1
0
Explore this recorded Dyad AI Modeling Challenge to see how AI-driven modelling connects electrical systems, thermal behaviour, orbit propagation, communications, and mission analysis. juliahub.com/videos/dyad-...
#julialang #Dyad #AIModelling #Simulation #SpaceTech #SystemsEngineering
0
0
0
0
Explore how to model and analyse steady-state and dynamic systems using Dyad, and see how engineers capture system behaviour under changing conditions. juliahub.com/events/julia...
#JuliaLang #Dyad #JuliaForEngineers #Modeling #DynamicSystems
2
0
0
0
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
2
0
0
0
Really interesting integration of #julialang for the algorithms and #nextflow for the pipeline. In principal, the user doesn't need to know any julia to make use of this, but it lets the developers get all of the benefits of that language. Was a fun one too review, and happy to see it accepted!
🧪
1
0
0
0
4
1
0
0
This month in Julia world highlights compiler progress, JETLS, RayMakie, GPU tooling, and new ecosystem releases—a strong snapshot of momentum across the Julia community. discourse.julialang.org/t/this-month...
#JuliaLang #OpenSource #ScientificComputing #DeveloperTools #GPUComputing
4
1
0
0
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 collection of gauge charts each representing one digit from 0 to 9. Each gauge shows the probability that a digit is immediately followed by itself in the first million digits of pi. Arc length encodes the self-transition rate, with a white line marking the expected 10.00% baseline. The arc appears to range from 9% to 11%. All ten digits fall within 0.20 percentage points of the expected rate, supporting the conjecture that pi is a normal number.
@dslc.io welcomes you to week 12 of #TidyTuesday! We're exploring One Million Digits of Pi!
📂 https://tidytues.day/2026/2026-03-24
📰 www.jpl.nasa.gov/edu/news/how-many-decima...
#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds
6
1
1
2
OITOOLS.jl transforms raw starlight interference patterns from world-class observatories into crisp
OITOOLS.jl transforms raw starlight interference patterns from world-class observatories into crisp stellar images, unlocking the universe's finest details through Julia-powered optical interferometry.
https://github.com/fabienbaron/OITOOLS.jl
#OpticalInterferometry #Astronomy #JuliaLang
0
0
0
0
What makes a good #engineering model? Join our #webinar on fidelity, sensitivity, efficiency, and building models you can trust with Dyad. juliahub.com/events/what-...
#julialang #Dyad #EngineeringModeling #SystemsEngineering #Simulation #ModelValidation
0
0
0
0
March at JuliaHub: cuTile.jl brings NVIDIA’s CUDA Tile to Julia, Dyad 2.2 is here, and live Dyad workshops are coming to Europe. A strong month for modeling and scientific computing. juliahub.com/blog/march-2...
#JuliaHub #JuliaLang #Dyad #ScientificComputing #Simulation
3
1
0
0
Are you trying to learn how to do something data-related in #RStats, #PyData, #JuliaLang, #RustLang, and/or #JavaScript? We currently have **2203** videos at DSLC.video! If you learn something through them, reply to the video to let us know! #DataBS #DataScience #AI #MachineLearning #RShiny #PyShiny
9
3
0
0
Built on #julialang #sciml, you get all of the autodiff and machine learning integration as well... that will come in the next demo.
2
0
1
0
Need your #code to be faster but don’t want to use Fortran or C? Learn #Julia, the modern language for #HPC, with a quality book. Here are some options:
lee-phillips.org/amazonJuliaB...
#julialang - its speed and friendly syntax is taking it beyond #science to #finance and other areas.
2
3
1
0
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.
Dozens of salmon swim in netted cage. Photo: "Rudolf Svensen"
@dslc.io welcomes you to week 11 of #TidyTuesday! We're exploring Salmonid Mortality Data!
📁 https://tidytues.day/2026/2026-03-17
📰 www.vetinst.no/arrangementer/lansering-...
#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds
6
3
1
1
Julia is a high-level programming language that executes as fast as C or Fortran. It’s powerful and fun to use. Get a solid foundation with a good book:
lee-phillips.org/amazonJuliaB...
#julialang #physics #programming #mathematics #science #astronomy
2
2
0
0
Join us March 18 at 1:00 PM EDT for Julia for Engineers Part 2. Learn how to model and analyze steady-state and dynamic systems in Dyad, and better understand performance under changing conditions. juliahub.com/events/julia...
#JuliaLang #Dyad
0
0
0
0
Neat, but this has been doable for years with RCall.jl and PythonCall.jl for years #julialang
2
1
1
0