JuliaCon 2024 - Proposals Due Jan 15: JuliaCon 2024 takes place from July 9-13 in Eindhoven, Netherlands. Workshops will take place Tuesday July 9, presentations Wednesday July 10 through Friday July 12 and the hackathon will be Saturday July 13. The call for proposals is open now and proposals are due by January 15.
JuliaHub 6.4: Announcing the Release of JuliaHub 6.4 explains many of the exciting, new and improved features available with the latest version of JuliaHub. These include Web app hosting, package use insights, improved merge, more info on jobs and pinned notebooks. More information is available in this blog post and in the release notes.
JuliaHub in Forbes India: Dr. Viral Shah (JuliaHub CEO, Co-Founder and Julia Co-Creator) describes the Julia journey in this one hour interview with Forbes India. Click here to watch.
Free Upcoming Webinars from JuliaHub: JuliaHub provides free Webinars covering a range of Julia topics. The Webinars are free but advance registration is required and space is limited. Please click the links below to register.
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Webinar |
Presenter |
Date |
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Dr. Ranjan Anantharaman, JuliaHub Sales Engineer |
Wed Jan 10, 1-2 pm Eastern (US) |
Free JuliaHub Webinar Archive: JuliaHub provides free access to more than 75 of our past Webinars. Recent Webinars include:
- Acausal Modeling for Nonlinear Control and Analysis (Dr. Fredrik Bagge Carlson, JuliaHub Senior Software Engineer)
- Accelerating New Product Design with Improved Crash Simulation Modeling (Brad Carman, JuliaHub Director of Consulting Services)
- Accelerating Simulations Using JuliaSimCompiler (Yingbo Ma, JuliaHub Engineering Team Lead)
- Introduction to ModelingToolkit for Industrial Modelers: A Hands-On Training Dr. Michael Tiller (Senior Director of JuliaSim Product Management), Dr. Chris Rackauckas (JuliaHub VP Modeling and Simulation) and Brad Carman (JuliaHub Director of Consulting)
JuliaCon Local Eindhoven 2023: In addition to hosting JuliaCon 2024, Eindhoven also hosted the first JuliaCon local event on Dec 1. Click here for more details.
JuliaHub CEO and Co-Founder Dr. Viral Shah at DevPalooza 2.0 in Bangalore Jan 6: JuliaHub CEO and Co-Founder and Julia Co-Creator Dr. Viral Shah will be speaking at DevPalooza 2.0 in Bangalore on January 6. Click here to register.
JuliaHub Consulting Services: Would your organization benefit from a 100x increase in simulation speeds? JuliaSim might be the solution you need. Click here for more information about JuliaSim, and to contact us to learn how JuliaSim can help your business succeed.
ChatGPT Performs Better on Julia than Python (and R) for Large Language Model (LLM) Code Generation: ChatGPT Performs Better on Julia than Python (and R) for Large Language Model (LLM) Code Generation. Why? is a new blog post from Dr. Chris Rackauckas (JuliaHub VP Modeling and Simulation). Click here for more.
Generalizing Scientific Machine Learning and Differentiable Simulation Beyond Continuous Models: Dr. Chris Rackauckas (JuliaHub VP Modeling and Simulation) presented Generalizing Scientific Machine Learning and Differentiable Simulation Beyond Continuous Models on November 23 as part of the Alan Turing Institute’s Phi-ML Meets Engineering series. Click here to watch.
Physics-Enhanced Deep Surrogates for Partial Differential Equations: Physics-Enhanced Deep Surrogates for Partial Differential Equations, co-authored by Dr. Chris Rackauckas (JuliaHub VP Modeling and Simulation) has been published by Nature Machine Intelligence. Click here for more.
Free Compute on JuliaHub (20 hours): In addition to the features JuliaHub has always offered for free – Julia ecosystem search, package registration tools, a dedicated package server – the platform now also gives every user 20 hours of free compute. This allows people to seamlessly share Pluto notebooks and IDE projects with others and let them get their feet wet with computing without having to open up their wallets. Click here to get started or check out Deep Datta’s introductory video, “JuliaHub Is a Free Platform to Start Your Technical Computing Journey”, where he explains how and why to start using JuliaHub for cloud computing.
Converting from Proprietary Software to Julia: Are you looking to leverage Julia’s superior speed and ease of use, but limited due to legacy software and code? JuliaHub and our partners can help accelerate replacing your existing proprietary applications, improve performance, reduce development time, augment or replace existing systems and provide an extended trusted team to deliver Julia solutions. Leverage experienced resources from JuliaHub and our partners to get your team up and running quickly. For more information, please contact us.
Careers at JuliaHub: JuliaHub is a fast-growing tech company with fully remote employees in 20 countries on 6 continents. Click here to learn more about exciting careers and internships with JuliaHub.
Julia and JuliaHub in the News
- HPCWire: ChatGPT Friendly Programming Languages
- E-Week: 20 Best Neural Network Software for 2024
- Analytics Insight: 10 Programming Languages for Developing AI Applications
- Air Force Materiel Command: Non-Technical Phantoms Excel at the DAF-MIT AI Accelerator
- Nature Scientific Reports: Forecasting Local Hospital Bed Demand for COVID-19 Using On-Request Simulations
- Analytics Insight: 10 Best Programming Languages for AI and NLP
- Express Computer: Advanced Applications of Open-Source Technologies
- The New Stack: Mojo Combines Python’s Ease with Performance of C++, Rust
- City Life: Which Language Is Best for Data Science?
- Design News: What Is the 2024 Outlook for Engineering Jobs?
- AMB Crypto: Best AI Tech Stack for Bootstrap Startups to 3X Productivity
- MobileAppDaily: Top Programming Languages for Artificial Intelligence
- Analytics Insight: 6 Coding Skills Required to Become a Data Scientist
- Analytics Insight: Data Science Skills You Need to Land a Job at Amazon in 2024
- TekDoze: Top Programming Languages to Learn in 2024
- Techrobot: What Is LLVM? The Power Behind Swift, Rust, Clang, and More
- CitizenSide: What Programming Languages Are Used For Machine Learning
- CitizenSide: What Language Is Used For Internet Of Things
- CitizenSide: How Do You Learn Machine Learning
- IT Jungle: 2023: An IBM i Year in Review
- Nature Machine Intelligence: Physics-Enhanced Deep Surrogates for Partial Differential Equations
- Analytics Insight: Best Programming Languages for Data Analysis in 2024
- Analytics India: Top 30 AI Influeners to Follow on X in 2023
- Linux Capable: How to Install Jupyter Notebook on Ubuntu 22.04 or 20.04
- Announcing the Release of JuliaHub 6.4 (Jasmine Chokshi)
- ChatGPT Performs Better on Julia than Python (and R) for Large Language Model (LLM) Code Generation. Why? (Chris Rackauckas)
- Static Code Analysis with JuliaHub: Scanning with Semgrep Now Available (Amruth Balbail)
- Exploring Modules and Variable Scope in Julia Programming (Steven Whitaker)
- Unleashing AI's Potential for Everyday Productivity: PromptingTools.jl (Jan Siml)
- Improve Your Documentation Using Vale.sh (Ronny Bergmann)
- Differences Between Julia Vector and Python/NumPy Vector (Vinod V)
- PromptingTools.jl: Getting Started (Jan Siml)
- GenAI Mini-Task: Buy More Time by Mastering Mini-Tasks (Jan Siml)
- GenAI Mini-Task: No More Re-Typing SQL Screenshots! (Jan Siml)
- Introducing DiffFusion.jl (Sebastian Schlenkrich)
- Sets Under Julia (Steven Siew)
- GenAI Mini-Tasks: Automating the Little Helpers for Plotting (Jan Siml)
- GenAI Mini-Tasks: Taming Wild Table Columns - Part 1 (Jan Siml)
- GenAI Mini-Tasks: Taming Wild Table Columns - Part 2 (Jan Siml)
- GenAI Mini-Tasks: Mining Themes in Survey Responses (Jan Siml)
- GenAI Mini-Tasks: Should I Watch this YouTube Video? (Jan Siml)
- GenAI Mini-Tasks: Oh No, I Missed a Meeting. What Now? (Jan Siml)
- GenAI Mini-Tasks: Oops, Missed Another Meeting? Get the Agreed Next Steps in a Snap! (Jan Siml)
- GenAI Mini-Tasks: Extracting Data from (.*)? Look No Further! (Jan Siml)
- Is Makie.jl Up to Speed? (Bogumił Kamiński)
- Boost Your Time to Market with Julia (Bogumił Kamiński)
- Is Vector Pooling Considered Harmful? (Bogumił Kamiński)
- Setting Up Your Julia Session (Bogumił Kamiński)
- Out Of Memory Data Is REALLY Cool (Emma Boudreau)
- Core Package Status — December 1st, 2023 (Emma Boudreau)
- Algia: My New Way To Handle Data (Emma Boudreau)
- WEIRD Things You Can Do In Julia (Emma Boudreau)
- Brilliant Parameterized Abstraction In Julia! (Emma Boudreau)
- Chifi Newsletter — November 27, 2023 (Emma Boudreau)
- Back On Olive Collaborator Cells (Emma Boudreau)
- Olive’s Next Steps (Emma Boudreau)
- File IO and Streams In Julia: A Full Overview (Emma Boudreau)
- Plugging Your Package Into Julia (Emma Boudreau)
- Chifi Web— December 12th, 2023 (Emma Boudreau)
- Olive 0.0.92 Status (Emma Boudreau)
- ToolipsCrawl — High-level Web-Crawling and Scraping For All! (Emma Boudreau)
- Revolutionizing Time Series Analysis with TimeGPT and Julia (Manu Francis)
- Exploring the Realm of Machine Learning in Julia with Flux.jl (Manu Francis)
- From MATLAB to Julia: Modernizing Scientific Computing with High-Performance Languages (Alexandra Grosu)
- World Happiness Report - EDA & Clustering with Julia (Navi)
- Differences Between Julia Vector and Python/NumPy Vector (Vinod V)
- Understanding Cooley-Tukey FFT Matrix Factorization with Julia (Vinod V)
Upcoming Julia and JuliaHub Events
- Bangalore: DevPalooza 2.0 with Dr. Viral Shah (JuliaHub CEO and Co-Founder and Julia Co-Creator) January 6
- Online: Ingesting and Deploying Functional Mockup Units in JuliaSim with Dr. Ranjan Anantharaman (JuliaHub Sales Engineer) January 10
- Linköping: OpenModelica with Dr. Chris Rackauckas (JuliaHub VP Modeling and Simulation) at Linköping University February 6, 2024
- Eindhoven: JuliaCon 2024 July 9-13
Recent Julia and JuliaHub Events
- Online: Acausal Modeling for Nonlinear Control and Analysis with Dr. Fredrik Bagge Carlson (JuliaHub Senior Software Engineer) November 21
- Online: Phi-ML Meets Engineering: Generalizing Scientific Machine Learning and Differentiable Simulation Beyond Continuous Models with Dr. Chris Rackauckas (JuliaHub VP Modeling and Simulation) and the Alan Turing Institute November 23
- Seattle: Seattle Julia Language Users Meetup with Dr. Chad Scherrer (Informative Prior) and Dr. Chris Rackauckas (JuliaHub VP Modeling and Simulation) November 28
- Online: Accelerating Simulations Using JuliaSimCompiler with Yingbo Ma (JuliaHub Engineering Team Lead) November 29
- Eindhoven: JuliaCon Local Eindhoven 2023 at High Tech Campus Conference Center December 1
- Cambridge MA: Cambridge Area Julia Users Network (CAJUN) Meeting with Dr. Denis Titov December 6
- Online: Introduction to ModelingToolkit for Industrial Modelers: A Hands-On Training with Dr. Michael Tiller (Senior Director of JuliaSim Product Management), Dr. Chris Rackauckas (JuliaHub VP Modeling and Simulation) and Brad Carman (JuliaHub Director of Consulting) December 7
- San Francisco: Tools for Device Modeling: From SPICE to Scientific Machine Learning with Keno Fischer (JuliaHub Co-Founder and CTO-R&D) at IEEE International Electron Devices Meeting December 9-13
- Munich: Share & Code: GPU Programming in Julia: What, Why and How? with Julia User Group Munich December 11
Contact Us: Please contact us if you want to:
- Learn more about JuliaHub, JuliaSim, Pumas, PumasQSP or CedarEDA
- Obtain pricing for Julia consulting projects for your organization
- Schedule Julia training for your organization
- Share information about exciting new Julia case studies or use cases
- Spread the word about an upcoming online or offline event involving Julia
- Partner with JuliaHub to organize a Julia event online or offline
- Submit a Julia internship, fellowship or job posting
About JuliaHub and Julia
JuliaHub is a fast and easy-to-use code-to-cloud platform that accelerates the development and deployment of Julia programs. JuliaHub users include some of the most innovative companies in a range of industries including pharmaceuticals, automotive, energy, manufacturing, and semiconductor design and manufacture.
Julia is a high performance open source programming language that powers computationally demanding applications in modeling and simulation, drug development, design of multi-physical systems, electronic design automation, big data analytics, scientific machine learning and artificial intelligence. Julia solves the two language problem by combining the ease of use of Python and R with the speed of C++. Julia provides parallel computing capabilities out of the box and unlimited scalability with minimal effort. Julia has been downloaded by users at more than 10,000 companies and is used at more than 1,500 universities. Julia co-creators are the winners of the prestigious James H. Wilkinson Prize for Numerical Software and the Sidney Fernbach Award.