This session explores how recent compiler advances in Julia and ModelingToolkit.jl enable direct binary compilation for model-based #engineering workflows. Through real-world case studies—from embedded state estimation on Raspberry Pi to shared PID libraries—you’ll see how Julia supports scalable, real-time deployment without relying on C code. juliahub.com/videos/compilat… #JuliaLang #JuliaProgramming #ModelBasedDesign #SystemSimulation #ScientificComputing #EmbeddedSystems #RealTimeSimulation #CompilerTechnology #EngineeringWorkflows #ModelingToolkit

JuliaC introduces a new way to build executables and shared libraries directly from Julia. In this session, Jeff Bezanson and Kristoffer Carlsson show how compact binaries make Julia practical for systems and embedded applications. juliahub.com/videos/juliac-a… #JuliaLang #JuliaProgramming #JuliaC #ScientificComputing #SystemsProgramming #EmbeddedSystems #HighPerformanceComputing #CompilerTechnology #SoftwareEngineering #OpenSource

JuliaC introduces a new way to build executables and shared libraries directly from Julia code. In this session, Jeff Bezanson and Kristoffer Carlsson explain the new compiler interface and show how JuliaC enables compact binaries and cross-language deployment. juliahub.com/events/building… #JuliaLang #JuliaProgramming #JuliaC #ScientificComputing #TechnicalComputing #HighPerformanceComputing #EmbeddedSystems #SystemsProgramming

Want to see how JuliaC works in practice? In this upcoming session, Dr. Jeff Bezanson and Kristoffer Carlsson will walk through building executables and shared libraries directly from Julia, and show how JuliaC supports cross-language integration and deployment for real #engineering workflows. If you’re working on embedded systems, systems #programming, or high-performance applications, this is a session worth joining. #JuliaLang #JuliaProgramming #EmbeddedSystems #ScientificComputing #HighPerformanceComputing #SystemsProgramming #webinar #python #C Register here: juliahub.com/events/building…

We’re hosting a deep dive on JuliaC, a new toolchain that makes it easy to build executables and shared libraries directly from Julia code. Whether you're embedding Julia in larger applications or deploying standalone binaries, JuliaC streamlines the path to systems programming, embedded development, and high-performance engineering. Dr. Jeff Bezanson and Kristoffer Carlsson will walk through the new compiler interface and show how to build compact binaries and integrate Julia with C, C , Python, and more. juliahub.com/events/building… #JuliaLang #JuliaProgramming #EmbeddedSystems #ScientificComputing #TechnicalComputing #HighPerformanceComputing #Python #C

This video explores how Julia and ModelingToolkit.jl remove the need for C code in model-based engineering workflows. You’ll see how direct binary compilation enables real-time estimation and control, and how architecture-specific code generation supports fast, scalable deployment. The session also walks through two case studies: a nonlinear state estimator running on a Raspberry Pi, and a Julia-based PID controller compiled as a shared library callable from C programs. juliahub.com/videos/compilat… #JuliaLang #JuliaProgramming #ModelBasedDesign #SystemSimulation #ScientificComputing #EmbeddedSystems #RealTimeSimulation #ModelingToolkit

The recording of our Control Systems Development in Julia session is now available. In this walkthrough, we cover the full workflow for building and analyzing control systems—starting with plant #modeling and frequency characteristics, moving into state-space representations, and finishing with the design of a closed-loop PID controller. If you’re exploring modern control #engineering in Julia, this is a great place to start. juliahub.com/videos/control-… #JuliaLang #ControlSystems #SystemSimulation #ModelBasedDesign #ScientificComputing #DynamicSystems #PIDControl #JuliaProgramming

Real-time estimation and control demand more than just fast hardware—they need smarter modeling tools. In this #webinar, we’ll show how Julia and #ModelingToolkit.jl eliminate the need for C codegen, enabling direct binary compilation for embedded applications. Join us to see how nonlinear estimators and compiled Julia controllers scale seamlessly from desktop to edge devices. juliahub.com/events/compilat… #JuliaLang #SystemSimulation #ModelBasedDesign #ScientificComputing #EmbeddedSystems #RealTimeSimulation #ModelingToolkit #JuliaProgramming

Traditional #modeling tools depend on #C code generation, but newer compiler advances in Julia and #ModelingToolkit.jl make direct binary compilation possible. In this #webinar, we’ll show how this improves real-time estimation and control through two case studies: a nonlinear state estimator running on a Raspberry Pi, and a Julia-based PID controller compiled as a shared library. Join us to see how Julia simplifies scalable deployment in model-based #engineering workflows. #JuliaLang #SystemSimulation #ModelBasedDesign #ScientificComputing #EmbeddedSystems #RealTimeSimulation #ModelingToolkit #JuliaProgramming

If Julia's type graph were a dance, would it be the cha-cha or the Macarena? Source: devhubby.com/thread/what-doe… #BigData #JuliaProgramming #Coding #DataScience #graph #type

Is there a modulo value that determines the best time for pizza delivery in Julia? Source: devhubby.com/thread/how-to-p… #JuliaTips #JuliaProgramming #LearnJulia #DateTime #type #julia

The future of engineering blends agility, accuracy, and intelligence. Dyad, powered by Julia and #SciML, brings together physics-based #modeling, #AI, and cloud-native workflows into a single environment. It bridges engineers and developers, enabling adaptive digital twins, faster design cycles, and trustworthy simulations that evolve with real-world data. #JuliaLang #JuliaProgramming #Dyad #DigitalTwin #ModelBasedDesign #EngineeringInnovation #Simulation #AIEngineering #SystemModeling #FutureOfEngineering

Join us on Aug 27 at 1 PM ET for a free JuliaHub webinar: Julia for Engineers: Modeling Steady-State and Dynamic Systems with Dyad. Learn how Julia and ModelingToolkit.jl streamline the setup, simulation, and analysis of complex systems—capturing both equilibrium and dynamic behavior. No prior Julia experience required, just curiosity to enhance your modeling skills. #JuliaLang #JuliaProgramming #Engineering #SystemModeling #Simulation #ModelingToolkit #DynamicSystems #ScientificComputing #Webinar

Our August newsletter is packed with exciting news! JuliaHub is partnering with Binnies and Williams Grand Prix Technologies to bring scientific machine learning (SciML) to the UK water sector. Plus, don’t miss JuliaCon highlights, upcoming webinars on modeling & reproducibility, and events across Europe and the US. Explore how Julia and Dyad are redefining engineering for the AI era. #JuliaLang #JuliaProgramming #SciML #DigitalTwin #Modeling #Simulation #AI #EngineeringInnovation #DataScience #FutureOfEngineering #CleanTech

As Julia adoption grows in scientific computing, data science, and industry, code quality and security are critical. JuliaHub’s integration with Semgrep brings powerful static code analysis to your workflow—helping you “shift left” to detect issues early, enforce coding standards, and meet compliance with ease. Build faster, safer, and smarter with JuliaHub. #JuliaLang #JuliaProgramming #DataScience #SoftwareDevelopment #Programming #CodeQuality #SecureCoding #StaticAnalysis #SoftwareSecurity #DevSecOps #CleanCode

JuliaProgramming people: have you tried to use DynareJl? I cannot even get it running, a bunch o precompile failures happen...any tips??

Julia Programming is shaking things up in AI, finance, and more! Here’s how it’s making a difference: geeksforgeeks.org/11-applica… #JuliaProgramming #ai #gfg #geeksforgeeks #julia

Do you think my neighbors will complain if I have a Julia file race in parallel outside? Source: devhubby.com/thread/how-to-r… #JuliaParallel #ParallelComputing #JuliaProgramming #DataManagement

Is Julia the Future of Data Science Programming? zurl.co/9PH1 #Julia #DataScience #MachineLearning #DataScienceRevolution #JuliaProgramming #MachineLearningRevolution #AI #AINews #AnalyticsInsight #AnalyticsInsightMagazine

Should I try playing the 'Jeopardy' theme song on loop to annoy the threads into submission in Julia? Source: devhubby.com/thread/how-to-k… #CodeOptimization #SoftwareDevelopment #JuliaProgramming #SoftwareDesign #sewing #threads