Julia 2023 User & Developer Survey: The fifth annual Julia User & Developer Survey is open now! Please click here to complete the survey. This year’s survey is currently available in English and we will add other languages as they become available. Survey results will be presented during JuliaCon in July.
Julia 1.9: Julia 1.9 is now available for download. Julia 1.9 includes many important new features and upgrades, including dramatic speed improvements for applications and package startup. More information is available in this blog post and this announcement.
Fee Upcoming Webinar from JuliaHub: Please register today to participate in a free Webinar from JuliaHub. Dr. Ranjan Anantharman, JuliaHub Sales Engineer will present Calibrating Models to Difficult and Noisy Data with JuliaSim Model Optimizer on Wednesday, June 14 from 10:30-11:30 am Eastern (US). Click here to register and join to learn how you can focus on modeling and interpretation while leaving the details of model calibration to an automated system. Participants will learn about inverse problems and how to specify them, model calibration algorithms and when to choose them and how to import/specify models into JuliaSim.
Watch Free Past Webinars from JuliaHub: More than 60 past JuliaHub Webinars are available for free online, including:
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Robust Model Predictive Control for Systems with Uncertain Parameters
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SciML: Scientific Computing + Machine Learning = Industrial Modeling for Engineers
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Using OpenAPI to Describe, Produce, and Consume Web APIs in Julia
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CUDA.jl 4.0: Using CUDA-Accelerated Binaries and Libraries in Julia
Try JuliaHub - Get Started for Free Last month, the team at JuliaHub revamped our standard tier offering and re-launched a free version of the platform that allows anyone to use up to 20 hours of compute time on the default machine for free every single month. This means that all of JuliaHub’s main features are available to use for free on our standard machine (r6i.large) of 2vCPU with 16GB RAM. For more details, read our blog. Or sign up to get started now.
JuliaHub at Norwegian University of Science and Technology (NTNU): Bridging Frontiers in Scientific Computing, Machine Learning and Systems Engineering with Julia will be presented at Norwegian University of Science and Technology (NTNU) by Dr. Chris Rackauckas (JuliaHub Director of Modeling and Simulation), Dr. Fredrik Bagge Carlson (JuliaHub Team Lead, JuliaSim Control) and Dr. Avinash Subramanian (JuliaHub Control Engineer) on June 7.
American Control Conference: Come meet with JuliaHub at the American Control Conference in San Diego May 31-June 2. You can find JuliaHub at Exhibition Booth #5.
JuliaHub at ODSC Europe in London: JuliaHub VP of Engineering Avik Sengupta will present “Using Large Language Models in Julia” at ODSC Europe June 14-15 at Tobacco Lane in London. Click here to register.
JuliaHub at University of South-Eastern Norway: The University of South-Eastern Norway hosted the 2023 DigiWell Julia Seminar, featuring presentations by JuliaHub. These presentations are now available for free online.
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Control, Identification and Estimation in Julia - An Overview of the Ecosystem with Dr. Fredrik Bagge Carlson (JuliaHub Control Systems Team Lead). Click here to watch.
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Julia Workflow Tips and What Is New in Julia 1.9 with Kristoffer Carlsson (JuliaHub Software Engineer). Click here to watch.
JuliaCon 2023: Tickets are still available for JuliaCon 2023! Click here to register. JuliaCon will be held in person for the first time since 2019, and will be held at MIT for the first time since 2016. JuliaCon will take place July 25-29. JuMP-dev and SciMLCon will both take place during JuliaCon this year.
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Keynote Speakers: Dr. Christopher Rackauckas, Dr. Stephen Wolfram, Dr. Rumman Chowdhury, Dr. Tim Davis
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Sponsorship: Sponsorship is available at many levels, from \(1,000 for an exhibition table to \)45,000 for Diamond sponsorship. Recent sponsors include: JuliaHub, RelationalAI, Julius Technologies, Intel, AWS, Invenia Labs, Google, EVN, DataChef, Gordon and Betty Moore Foundation, Tangent Works, Replit, Capital One, Nvidia, Microsoft, Alan Turing Institute, Zapata, Beacon Biosignals, Metalenz, ASML, G-Research, Conning, Pumas-AI, QuEra Computing, Jeffrey Sarnoff and more.
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Julia Community Prize: Is there someone who you would like to see recognized for their contributions to the Julia language and/or community? Nominations are open now. Please note that past winners are not eligible.
Award-Winning Quantitative Systems Pharmacology (QSP) Using Julia: MIT JuliaLab researcher Emily Nieves was awarded the Best Oral Presentation Award from the International Society of Pharmacometrics (ISoP) for Uncertainty Quantified Discovery of Chemical Reaction Systems via Bayesian Scientific Machine Learning.
Julia for Personalized Neurological Treatment: Professor Alan Edelman (JuliaHub Co-Founder, Chief Scientist and Co-Creator of Julia) is featured in Changing the Game, a new article from Stony Brook University about Neuroblox. Neuroblox, built in Julia, models brain circuits to treat brain disorders.
Julia for COVID: Nucleocapsid-Specific T Cell Responses Associate with Control of SARS-CoV-2 in the Upper Airways Before Seroconversion is a new paper using Julia in Nature Communications. Click here for more.
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 12 countries on 5 continents. Click here to learn more about exciting careers and internships with JuliaHub.
Julia and JuliaHub in the News
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Interesting Engineering: 5 of the Top Programming Languages for AI Development
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Dataconomy: What Do Machine Learning Engineers Do?
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Proceedings of the National Academy of Sciences: The Build-Up of the Present-Day Tropical Diversity of Tetrapods
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Stony Brook University Magazine: Changing the Game
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Nature - Scientific Reports: Analysis of Intrinsic Evolutionary Factors Leading to Microendemic Distributions in New Caledonian Leaf Beetles
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The Next Platform: The Skills Gap for Fortran Looms Large in HPC
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Bio-IT World: Bio-IT World Announces Best of Show Finalists, People’s Choice Contenders
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Nature - Scientific Reports: Inference in Conditioned Dynamics Through Causality Restoration
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I-Programmer: Google Adds Code Generation To Bard
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Analytics Insight: Top 10 Python Deep Learning Libraries for Programmers in 2023
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Simplilearn: Discover How to Set up Matlab on Your Laptop
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Analytics Insight: Top 10 Lesser-Known Programming Languages Worth Exploring in 2023
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Forbes India: Julia 1.9 Released
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California18: Programming Language Julia 1.9 Accelerates Start and Load Times
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TechBullion: Unleashing the Power of Deep Learning in 2023: A Vision for AI’s Future
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Medium: New AI Programming Language Mojo, 35,000 times faster than Python
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Business Review: Top 8 AI Programming Languages
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Make Use Of: A Beginner’s Guide to Kaggle for Data Science
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Latvijas Sabiedriskie Mediji: Pasaulē Lielākais Iedzīvotāju Skaits – Indijas Ieguvums vai Zaudējums?
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Analytics India: This New Programming Language Is Likely to Replace Python
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Root: Vyšla Julia 1.9
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Open Source for You: Generative AI: The Next Big Thing
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Le Big Data: Mojo: Le Langage IA Qui Va Remplacer Python? Tout Savoir
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Chinese Software Developer Network: 编译器大神 Chris Lattner 官宣新编程语言: Mojo, 比 Python 快 35000 倍!
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Heise: Programmiersprache Julia 1.9 Beschleunigt Start- und Ladezeiten
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Tweakers: Software-Update: Julia 1.9.0
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Forpost Sevastopol: Доступен язык программирования Julia 1.9
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I Programmer: Julia 1.9 Adds Native Code Caching
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Mirage News: Top Programming Languages to Learn in 2023
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Scientific Computing World: Can AI Solve its Sustainability Problem?
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Open Source for You: Want to Build an AI System? Use These Languages and Frameworks
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Developpez: Julia 1.9: La Sortie de Cette Version Va-t-Elle Faire Grimper en Flèche la Popularité de Julia?
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HPCWire: E4S: Much More Than Just the Delivery Vehicle for Hardened and Robust HPC Libraries and Tools
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Nature - Communications: Nucleocapsid-Specific T Cell Responses Associate with Control of SARS-CoV-2 in the Upper Airways Before Seroconversion
Julia Blog Posts
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Julia 1.9: A New Era of Performance and Flexibility (Logan Kilpatrick)
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Julia 1.9.0 Lives Up to its Promise (Bogumił Kamiński)
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Julia 1.9 Available Now - Free to Download and Use (JuliaHub)
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A Fun Exploration of Perfect, Abundant, and Deficient Numbers (Jacob Zelko)
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Solving an RPG Puzzle with Julia (Abel Soares Siquira)
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Introducing Genie UI Assistant: The AI-Powered UI Builder for Genie Apps (Pere Giménez)
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Web Development with Julia (Ifihan Olusheye)
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How to Solve the Two Language Problem? (Matthijs Cox)
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Clean Code Tips for Scientists #1 - Reproducible Environments (Matthijs Cox)
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Arguments In Julia (Emma Boudreau)
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Automate Your Code Quality in Julia (Matthijs Cox)
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Mastering Scientific Programming: Practical Tips and Tricks (Matthijs Cox)
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Extreme Multi-Threading: C++ and Julia 1.9 Integration (Matthijs Cox)
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Building a Scalable Inner-Source Ecosystem for Collaborative Development (Matthijs Cox)
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Mastering File Input and Output in Julia (Ifihan Olusheye)
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GR Going Interactive … (Josef Heinen)
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What's the Difference Between Using and Import in Julia? (Ifihan Olusheye)
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The Art of Multiple Dispatch (Matthijs Cox)
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Genie Builder v0.3 Makes it Easier to Build UIs with No-Code (Pere Giménez)
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Hungarian Meeting with Euler for the Third Anniversary (Bogumił Kamiński)
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Ref ref. (Bogumił Kamiński)
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MakieCon 2023 Was Amazing! (Bogumił Kamiński)
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Pivot Tables in DataFrames.jl (Bogumił Kamiński)
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How Is Equality Checked in DataFrames.jl? (Bogumił Kamiński)
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JuliaHub Accelerates Development with Team Collaboration Features (Sebastian Pfitzner & Panagiotis Georgakopoulos)
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Can I Use Jupyter Notebooks with Languages Other than Python? (Gabe Araujo)
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Data Visualization with Julia: Exploring Plots.jl (Ifihan Olusheye)
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What a Difference a Day Makes (Frederik Banning)
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JuliaHub Is a Free Platform to Start Your Technical Computing Journey (Deep Datta)
Upcoming Julia and JuliaHub Events
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Montréal: Optimization Days at HEC Montréal with Canadian Operational Research Society (CORS) and Centre Interuniversitaire de Recherche sur les Reseaux d'Entreprise, la Logistique et le Transport (CIRRELT) May 29-31
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San Diego: American Control Conference with JuliaHub May 31-June 2
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Trondheim: Bridging Frontiers in Scientific Computing, Machine Learning and Systems Engineering with Julia at Norwegian University of Science and Technology (NTNU) with Dr. Chris Rackauckas (JuliaHub Director of Modeling and Simulation), Dr. Fredrik Bagge Carlson (JuliaHub Team Lead, JuliaSim Control) and Dr. Avinash Subramanian (JuliaHub Control Engineer) June 7
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Online: Calibrating Models to Difficult and Noisy Data with JuliaSim Model Optimizer with Dr. Ranjan Anantharaman (JuliaHub Sales Engineer) June 14
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London: Using Large Language Models in Julia with Avik Sengupta (JuliaHub VP of Engineering) at ODSC Europe June 14-15
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San Francisco: Design Automation Conference with JuliaHub July 9-13
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Cambridge, MA: JuliaCon 2023 July 24-29
Recent Julia and JuliaHub Events
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Eindhoven, Netherlands: Julia's Disruption of the High-Tech Industry with Deepak Vinchhi (JuliaHub COO and co-founder) and Dr. Christopher Rackauckas (JuliaHub VP of Modeling and Simulation) at Sioux Technologie April 18
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Jena, Germany: MakieCon at the Max Planck Institute for Biogeochemistry with Dr. Lazaro Alonso Silva April 18-20
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Online: Robust MPC for Uncertain Parameters with Dr. Fredrik Bagge Carlson (JuliaHub Control Systems Team Lead) April 19
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London: Julia Expert Meetup - SciML + Julia 1.9 with Avik Sengupta (JuliaHub VP Engineering) and Dr. Chris Rackauckas (JuliaHub Director of Modeling and Simulation) at University of London April 21
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Online: Cutting Model Translation Time with Pumas-QSP Importers with Dr. Paul Lang (JuliaHub Software Engineer) April 25
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Online: Using OpenAPI to Describe, Produce, and Consume Web APIs in Julia with Tanmay Mohapatra (JuliaHub Principal Software Engineer) May 3
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Online: SciML: Scientific Computing + Machine Learning = Industrial Modeling for Engineers with Dr. Chris Rackauckas (JuliaHub Director of Modeling and Simulation) May 9
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Online: CUDA.jl 4.0: Using CUDA-Accelerated Binaries and Libraries in Julia with Dr. Tim Besard (JuliaHub Software Engineer) May 10
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Online: Modeling Battery Lifespan with Dr. Marc Berliner (JuliaHub Software Engineer) May 17
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New York: Scientific Machine Learning (SciML): Fast Solving and Automated Construction of Stochastic Models with Dr. Chris Rackauckas (JuliaHub Director of Modeling and Simulation) at 9th Annual Bloomberg-Columbia Machine Learning in Finance Workshop 2023 at Columbia University Center for Financial Engineering May 19
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Online: Building Data Visualization Apps with Dash and Julia with Deep Datta (JuliaHub Product Manager) May 24
Contact Us: Please contact us if you want to:
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Learn more about JuliaHub, JuliaSim, Pumas, PumasQSP or CedarEDA
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Obtain pricing for Julia consulting projects for your organization
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Schedule Julia training for your organization
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Share information about exciting new Julia case studies or use cases
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Spread the word about an upcoming online or offline event involving Julia
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Partner with JuliaHub to organize a Julia event online or offline
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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.