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juliahub.bsky.social
A single platform for modeling, simulation, and custom applications. JuliaHub's supercomputing infrastructure powers breakthroughs with multi-threading, parallel, and distributed computing.
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JuliaHub’s June #Newsletter is out—featuring the launch of Dyad Studio, a next-generation tool for model-based design that brings together multi-physics #modeling, #simulation, controls, and #SciML in one powerful package. Plus #webinars and fresh #blog posts. juliahub.com/blog/newslet... #Julialang

Struggling with reproducibility in your #pharmacometrics workflows? Discover how Time Capsule captures complete job context to ensure full #traceability, #auditability, and #compliance —no matter how software or dependencies change. juliahub.com/company/reso... #JuliaLang #DrugDevelopment #webina

📢 The Julia User & #Developer #Survey 2025 is live! Help shape the future of Julia by sharing how you use the language. The results will be shared at #JuliaCon and online. It takes just 10–15 minutes and your input makes a difference. form.jotform.com/251535068164... #JuliaLang #OpenSource #coding

JuliaHub is thrilled to launch #Dyad —a next-gen tool for model-based design. Built on Julia and SciML, it unifies multi-physics #modeling, #simulation, #AI, and #ML. Try the Dyad Studio VS Code extension today: juliahub.com/blog/dyad-ma... #JuliaLang #SciML #VSCode #MachineLearning

Julia’s second level of multiple dispatch using type parameters—lets you write more precise, expressive, and extensible code. This blog breaks it down with real-world examples and practical insights. medium.com/chifi-media/... #JuliaLang #SoftwareDevelopment #Programming #MultipleDispatch

Need to profile fast Julia code? Here's a concise blog that walks through a smart trick to get meaningful performance data—even for quick functions. forem.julialang.org/nsajko/profi... #JuliaLang #Performance #Profiling #DevTips #Benchmarking #JuliaTools

Looking to build ML models that strictly follow physical or structural constraints? This blog dives into Neural DAEs—a powerful approach using differential-algebraic equations. www.stochasticlifestyle.com/machine-lear... #JuliaLang #MachineLearning #NeuralDAEs #ScientificML #AIResearch

Join us for a practical #webinar on designing high-performance Julia applications for the cloud. We’ll cover key decisions that impact #performance, #reliability, and #scalability — from sysimages to dependency management and compute orchestration. juliahub.com/company/reso... #JuliaLang

The SciML Small Grants Program is live with new projects! If you're a dev or researcher into Julia or scientific computing, this is a chance to contribute, get recognition, and earn. www.linkedin.com/feed/update/... #JuliaLang #OpenSource #SciML #MachineLearning #OSSFunding

Ever wondered how word embeddings actually work? This hands-on tutorial in Julia walks you through building them from the ground up—no ML experience required. Perfect for curious minds and learners exploring NLP from first principles medium.com/@avmantzaris... #JuliaLang #LearnJulia #MachineLearning

Deploying Julia applications at scale requires more than just fast code. Join our #webinar to explore smart design strategies that boost #performance and reliability for cloud workloads. juliahub.com/company/reso... #JuliaLang #CloudComputing #ParallelComputing #programming #HPC #SoftwareEngineering

Component-based modeling isn't just for proprietary tools anymore. #ModelingToolkit brings open source, composable #modeling to scientific computing. Learn how it powers scalable, high-fidelity digital twins from domain-specific components. www.stochasticlifestyle.com/open-source-... #JuliaLang

Curious about Scientific Machine Learning but new to #ML? This hands-on intro starts from first principles and builds up to real-world apps—from #modeling epidemics to tracking F1 cars with physics-informed neural networks. www.stochasticlifestyle.com/a-hands-on-i... #julialang #SciML #DataScience

CUDA.jl 5.8 adds broadcasting for CuSparseVector, support for CUDA 12.9, and key library updates—making it easier to write efficient, element-wise #GPU operations in Julia without sacrificing clarity or #performance. juliagpu.org/post/2025-05... #JuliaLang #CUDA #GPUcomputing #programming

Pharma R&D needs more than models—it needs speed, scale, and reproducibility. Discover how JuliaHub enables interactive workflows with #Pumas, #NONMEM, and #RStudio in our live session. juliahub.com/company/reso... #JuliaLang #PharmaTech #ClinicalPharmacology #DataScience #Pharma

Introducing Dyad Studio—the new tool from JuliaHub that brings #modeling, #simulation, and #analysis into one powerful interface. Built on VS Code, it streamlines complex #engineering workflows and accelerates model-based development. juliahub.com/company/reso... #JuliaLang #EngineeringTools

Streamline your machine learning workflows with CI/CD in Julia. From model validation to deployment, discover how to build scalable, test-driven, and reproducible ML systems using Julia’s powerful ecosystem. youtu.be/m1gRFCSETFw #JuliaLang #MLOps #CI_CD #MachineLearning #programming

Why rely on C when Julia can go straight to binary? Explore how Julia + #ModelingToolkit.jl enable real-time model deployment—from #embedded estimation on Raspberry Pi to callable control libraries. A smarter workflow for modern engineers. youtu.be/ui4T4_eFmEM #Julialang #ModelBasedDesign #JuliaLang

Struggling with sprint planning? Try a smarter way using Julia and Gurobi. This approach minimizes sprint count, respects task dependencies, and maximizes sprint utilization. Efficiency meets automation. medium.com/@karim.oulda... #JuliaLang #Agile #Optimization #Gurobi #Scrum

Julia delivers #performance and flexibility—but there’s always room for #optimization. Here are 5 practical techniques to reduce memory usage in Julia, from numerical types to StaticArrays and more. medium.com/chifi-media/... #JuliaLang #MemoryOptimization #HighPerformanceComputing #DataScience

Generic programming in Julia goes beyond templates—thanks to multiple dispatch. See how you can write flexible, reusable functions that work across types, without boilerplate. One function, infinite possibilities. medium.com/chifi-media/... #JuliaLang #Programming #Generics #opensource

Ever wondered how Julia's 10k+ packages are managed and registered? From Registrator.jl to TagBot, explore the toolkit that powers General and custom registries—designed for automation, consistency, and community transparency. www.linkedin.com/feed/update/... #JuliaLang #OpenSource #Programming

Building LLMs in Julia? This post walks through creating a PyTorch-style DataLoader that handles batching, shuffling, and next-token prediction. Efficient, clean, and built with MLUtils.jl. www.linkedin.com/feed/update/... #JuliaLang #LLM #DeepLearning #AItools #OpenSource #MLpipeline #DataScience

Learn how to extend Julia’s split() function using multiple dispatch—adding custom behavior cleanly and intuitively. A great read if you're exploring Julia's extensibility and want more control over core functionality. atantos.medium.com/extending-ba... #JuliaLang #DevTips #OpenSource #programming

Explore how JuliaHub enables fast, interactive development and reproducible workflows for pharma teams. This session walks through unified #code, #data, compute—and demos with #Pumas, #NONMEM, and #RStudio. Watch the recorded #webinar now. youtu.be/IXdMi77PnYA #JuliaLang #PharmaTech #Reproducibility

Explore the art of writing file parsers in Julia. This deep dive covers how to build TOML, HTML, and CSS parsers—highlighting algorithmic techniques, recursion, and string handling along the way. Great learning for devs at any level. medium.com/chifi-media/... #JuliaLang #DataScience #Parsing

Looking to build NLP tools in Julia? Learn how to create a vocabulary dictionary mapping 370K+ English words to unique IDs—a key step for custom tokenizers and efficient text processing. atantos.medium.com/creating-a-v... #JuliaLang #NLP #MachineLearning #OpenSource #AItools #TextMining #DataScience

From #simulation to real-time hardware deployment, JuliaHub streamlines #embedded control #workflows using JuliaSim and JuliaC. See how we built, tuned, validated, and deployed a controller in one seamless flow. Watch the full webinar now. juliahub.com/blog/juliahu... #JuliaLang #ControlSystems

Making the leap from R to Julia for data manipulation? Learn how Tidier.jl and native Julia tools can help you wrangle and visualize data with ease. A great step toward building high-performance, reproducible #workflows. info.juliahub.com/resources/in... #JuliaLang #DataScience #programming #data

Ever wonder how to get the most out of Dict in Julia? From basic construction to advanced functions like merge, findall, and comprehensions — this guide has everything you need to master dictionary #workflows. www.linkedin.com/feed/update/... #JuliaLang #DataStructures #CodingTips #OpenSource

Want to run R code inside Julia? With RCall.jl, you can seamlessly pass variables between #R and Julia. Learn how to set up RCall in the Julia IDE and run R code from the Julia REPL. youtu.be/-2dqum5inEM?... #JuliaLang #RStats #DataScience #programming

New tools are making Julia easier to deploy than ever. Learn about juliac, a gcc-style compiler driver, and how binary trimming reduces file size and complexity. A must-see update for anyone building with #JuliaLang. youtu.be/R0DEG-ddBZA #AOT #Compilers #DevTools #OpenSource #HPC

A simple digit-rotation formula using modulo, explored across Julia, R, APL, and Uiua. Great for comparing basic operations across languages. jcarroll.com.au/2025/05/03/r... #JuliaLang #RStats #APL #Uiua #ProgrammingLanguages #DevTips #MathInCode

From Julia 1.12 updates to new packages and tooling across the ecosystem, April’s “This Month in Julia World” brings you highlights, links, and context from the community. A great read for devs tracking what’s next in Julia. julialang.org/blog/2025/04... #JuliaLang #OpenSource #Programming #coding

In this JuliaHub #tutorial from our Integrating #R with #JuliaHub series, see how RCall.jl lets you run R code directly from the Julia REPL. Pass variables between R and Julia—and make your #analytics #workflow more powerful and seamless. info.juliahub.com/resources/in... #JuliaLang #R #DataScience

Building regulated #applications in Julia? Learn how #JuliaHub uses #Semgrep to power secure, compliant, and auditable #code development. Join our live session for a walkthrough on code scanning, best practices, and real-world examples. juliahub.com/company/reso... #JuliaLang #LifeSciences #webinar

Did you know you can run R notebooks directly inside the Julia IDE? With JuliaHub, you can combine #R, Julia, and #Python on one compute platform. Learn how to set it up in our latest tutorial from the “Integrating R with JuliaHub” series. info.juliahub.com/resources/in... #JuliaLang #DataScience

Projections are at the heart of #machinelearning. This hands-on #tutorial uses Julia to make the math behind inner products and projections approachable—even for newcomers. Great for learners exploring #ML foundations. medium.com/@avmantzaris... #JuliaLang #DataScience #MLWithJulia #JuliaProgramming

JuliaHub’s May #Newsletter is out, reminding you to grab early bird #JuliaCon2025 tickets before May 15, plus new #blog posts, #events, #webinars, and updates on how #JuliaSim is transforming #simulation and #modeling. www.linkedin.com/feed/update/... #Julialang #programming

Bring your #R markdown workflows to the cloud with JuliaHub. Run fully functional #RStudio on powerful infrastructure—no setup needed, no #code changes required. Watch how it works. info.juliahub.com/resources/in... #JuliaLang #CloudComputing #ReproducibleResearch #DataScience #ScientificComputing

From world-class #ODE solvers to up-and-coming tools like MethodOfLines.jl, #SciML is evolving fast. This talk breaks down the maturity of its components and outlines what's next, shedding light on priorities, gaps, and how you can contribute. www.linkedin.com/feed/update/... #JuliaLang #OpenSource

Explore how JuliaSim streamlines model exchange with #FMU support. From importing to exporting ML-based models, see how to boost interoperability across tools and teams. Watch the demo with Dr. Ranjan Anantharaman now. juliahub.com/company/reso... #JuliaLang #FMI #Simulation #ModelBasedDesign

Explore how to write vendor-neutral, high-performance #GPU #code in Julia with KernelAbstractions.jl. In this recorded session, Tim Besard demonstrates flexible array #programming across architectures. Watch now and level up your GPU workflow. youtu.be/QvlBmh1t9I4 #JuliaLang #HPC #GPU

Looking to speed up your data workflows? Learn how Julia’s DataFrames.jl and Query.jl deliver high-performance analytics with SQL-like queries—without sacrificing flexibility or simplicity. www.linkedin.com/feed/update/... #JuliaLang #DataAnalytics #datascience #SQL #programming

Explore how to analyze graphs in Julia using the #JuliaGraphs ecosystem. From building weighted graphs to centrality and MSTs, this hands-on #tutorial gives you the essentials to get started with graph #analytics in Julia. medium.com/coffee-in-a-... #JuliaLang #GraphAnalytics #DataScience

Simulation bottlenecks? #JuliaSim AI blends physics, AI, and optimization to turn months-long runs into hours. Surrogates, control systems & JSMO unlock speed and accuracy in #aerospace, #energy, #robotics & more. www.linkedin.com/feed/update/... #JuliaLang #DigitalTwin #Simulation #Engineering #AI

Dictionaries (Dict) in Julia are more than just key-value pairs—they’re fast, flexible, and deeply integrated into the language. Learn how to use, iterate, merge, and sort them effectively in this hands-on guide: www.linkedin.com/feed/update/... #JuliaLang #Software #DataStructures #Programming

Ready to build LLMs with Julia? Discover how to transform token IDs into embeddings using #Flux.jl and Julia arrays—mirroring #PyTorch #workflows with flexibility and speed. See the full step-by-step guide: atantos.medium.com/from-token-i... #JuliaLang #AI #DeepLearning #LLM

Reproducibility in pharma research is hard—but critical. JuliaHub’s Time Capsule lets you re-run batch jobs, archive full studies, and preserve every input, output & environment for years. See how it works: juliahub.com/blog/reprodu... #JuliaLang #Pharma #Reproducibility #Compliance #DataIntegrity

Fragmented pharma workflows slow innovation. JuliaHub brings #Pumas, #NONMEM & #RStudio together—boosting model development, scaling #simulations, and ensuring #compliance. Join us live to see pharma R&D done right: juliahub.com/company/reso... #JuliaLang #Pharma #PumasAI #webinar