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Newsletter October 2024 | JuliaHub at the American Modelica Conference and the American Conference on Pharmacometrics (ACoP)
By JuliaHub | Oct 16, 2024
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JuliaHub and JuliaSim at the American Modelica Conference: JuliaHub and JuliaSim are being featured at this year’s American Modelica Conference October 14-16 in Storrs, Connecticut.
- Dr. Michael Tiller (JuliaHub Senior Director of Product Management) is conference co-chair
- Workshop: Integrating Declarative and Imperative Acausal Modeling with ModelingToolkit will be led by Dr. Chris Rackauckas (JuliaHub VP of Modeling and Simulation) and Brad Carman (JuliaHub Director of Consulting)
- JuliaHub is a Gold Sponsor of this year’s American Modelica Conference
- Please stop by our booth or send us an email at sales@juliahub.com to connect and schedule a virtual or in-person meeting or demonstration during the conference.
JuliaHub at the American Conference on Pharmacometrics (ACoP): JuliaHub will be attending the American Conference on Pharmacometrics (ACoP) in Phoenix, Arizona November 10-13. We will be at Booth 19. Please stop by or contact us at sales@juliahub.com to connect and schedule a virtual or in-person meeting or demonstration during the conference.
Free Webinars from JuliaHub: JuliaHub provides free one-hour Webinars on a variety of topics. Registration is free but space is limited. Click the link below to register, or watch past Webinars here.
- Introducing JuliaSim: A Cloud Based Modeling Tool with Dr. Michael Tiller (Senior Director of Product Management, JuliaHub), Tuesday October 22, 1-2 pm Eastern (US)
- Mitsubishi Electric Research Laboratories: Building High-Fidelity HVAC Models with JuliaSim with Dr. Christopher Laughman (Senior Principal Research Staff, Mitsubishi Electric Research Laboratories) and Dr. Avinash Subramania (Software Engineer - Simulation, Control and Optimization at JuliaHub), Tuesday October 29, 1-2 pm Eastern (US)
- Julia for Engineers: Part 1 Algorithms with David Dinh (Sales Engineer, JuliaHub), Thursday October 31, 1-2 pm Eastern (US)
- Multibody Modeling and Simulation with JuliaSim with Dr. Fredrik Bagge Carson (Senior Software Engineer, JuliaHub), Wednesday November 6, 1-2 pm Eastern (US)
- Mastering Real-Time Control and Visualization with Genie Builder: Build an Interactive Robot Arm Dashboard with Dr. Pere Giménez and Adrian Salceanu, Wednesday, November 13, 1-2 pm Eastern
Julia for Fusion Power Plants: General Atomics has released the Fusion Synthesis Engine (FUSE), “a state-of-the-art, open-source software designed to help build fusion power plants … written in Julia.” Click here for more information.
JuliaCon Global 2025 and JuliaCon 2024 Wrap-Up: The JuliaCon Organizing Committee has published JuliaCon Global 2025 and JuliaCon 2024 Wrap-Up. JuliaCon 2025 will be in Pittsburgh July 21-26, and the Call for Proposals will be open Nov 1, 2024 - Jan 15, 2025.
Julia 1.11 Highlights: Julia 1.11 has been released. Release notes are available here.
- Array now implemented in Julia, new Memory type (Jameson Nash, Oscar Smith)
- New public keyword (Lilith Hafner)
- Manifest versioning (Ian Butterworth)
- Improved tab completion and hinting in the REPL (Ian Butterworth, Shuhei Kadowaki)
- Sources section in Project.toml in Pkg.jl (Kristoffer Carlsson)
- Precompile file relocatability (Florian Atteneder)
- Stdlib excision (Valentin Churavy, Kristoffer Carlsson)
- ScopedValues
- New main entry point (Keno Fischer)
- The @time macro now reports lock conflicts (Ian Butterworth)
- Inference enhancements (Keno Fischer, Shuhei Kadowaki)
Open Energy Modeling at JuMP-dev: Open Energy Modeling features open source energy models that can be shared, collaborated on and improved to increase energy efficiency, reduce climate change and increase access to clean, affordable energy. This year, Open Energy Modeling featured prominently at JuMP-dev, which was colocated with JuliaCon in Eindhoven. In Open Energy Modeling at JuMP-dev, Oscar Dowson provides a summary of how JuMP-dev is being used as part of Open Energy Modeling, and includes embedded YouTube videos from 2017-2024, including JuliaCon presentations.
This Month in Julia World: Stefan Krastanov’s monthly newsletter This Month in Julia World includes the latest Julia language updates. Click here for more.
New Ways to Compile Julia: Dr. Jeff Bezanson (JuliaHub Co-Founder and CTO, Julia Co-Creator) and Gabriel Baraldi (JuliaHub Compiler Engineer) presented New Ways to Compile Julia at JuliaCon earlier this year. Click here to read the blog post and watch their presentation.
JuliaCon 2024 Videos on YouTube: At least 220 (out of 330+) JuliaCon 2024 presentations have already been uploaded to YouTube, and more are being uploaded every week. Click here to watch.
JuMP-dev 2024 Videos on YouTube: JuMP-dev 2024 videos are also available on YouTube. Click here to watch. More information about JuMP-dev 2024 is available here.
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.
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 lets 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 blog post, “JuliaHub Is a Free Platform to Start Your Technical Computing Journey”, which 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
- InfoWorld: Julia Language Adds Lower-Overhead Memory Type
- MarkTechPost: RxEnvironments.jl: A Reactive Programming Approach to Complex Agent-Environment Simulations in the Julia Language
- Nature Ecology & Evolution: A Large-Scale in Silico Replication of Ecological and Evolutionary Studies
- General Atomics: General Atomics Releases FUSE: A Powerful Tool to Fast-Track the Development of Fusion Power Plants
- Analytics Insight: Top AI Programming Languages to Learn Today
- Analytics Insight: The Most In-Demand Programming Languages for 2025
- AIM: Top 30 AI Influeners to Follow on X (Twitter) in 2024
- Analytics Insight: Will There Be a New Dominant Programming Language by 2030?
- Analytics Insight: Rise & Fall of R Programming Language
- Analytics Insight: Highest Paying Machine Learning Programs in 2024
Julia Blog Posts
- JuliaCon Global 2025 and JuliaCon 2024 Wrap-Up (JuliaCon Organizing Committee)
- Julia 1.11 Highlights (Jameson Nash, Oscar Smith, Lilith Hafner, Ian Butterworth, Shuhei Kadowaki, Kristoffer Carlsson, Florian Atteneder, Valentin Churavy, Keno Fischer)
- New Ways to Compile Julia (Jeff Bezanson)
- Open Energy Modeling at JuMP-dev (Oscar Dowson)
- This Month in Julia World (Stefan Krastanov)
- Metal.jl 1.4: Improved Random Numbers (Christian Guinard)
- CUDA.jl 5.5: Maintenance Release (Tim Besard)
- In-Place Modifications (Jonathan Carroll)
- Alpha Capture and Acquired (Dean Markwick)
- How I Automated My Entire Morning Routine with Julia Programming (Gabe Araujo)
- Beyond Python: The Top 3 Programming Languages Taking Over the Industry by 2026 (Gabe Araujo)
- The Rise of AI Programming: Why Python Developers Need to Adapt or Get Left Behind (Gabe Araujo)
- Is Python About to Be Replaced? Why Developers Are Moving to Rust and Julia (Gabe Araujo)
- Exploring the Magic of 4 in Rust, Go, and Julia: Applications, Patterns, and Significance (Gabe Araujo)
- No Residual Rewrites Needed: Julia’s AI Code Efficiency Explained (Gabe Araujo)
- 10 Things I Stopped Doing in GoLang Programming After Learning from the Pros (Gabe Araujo)
- Python vs Julia: Which Programming Language Is the Future of Data Science? (Gabe Araujo)
- Is Python Still Worth It? Go and Julia Are Gaining Ground Fast (Gabe Araujo)
- How I Automated My Entire Morning Routine with Julia Programming (Gabe Araujo)
- The Coding Renaissance: Why Learning Rust or Julia Might Be Your Best Bet (Gabe Araujo)
- Is Python Becoming Obsolete? What Next-Gen Languages Mean for Developers (Gabe Araujo)
- Comparing Python and Julia for Scientific Computing (Katy)
- Is Julia Set to Dethrone R in Statistical Computing? (Katy)
- Why Python Developers Should Prepare for the Rise of New Programming Languages (Gabe Araujo)
- Is Python the Best for Machine Learning? (Katy)
- Julia vs Python: Which is Better for Data Science? (Techwithdunamix)
- Topic Modeling “The Adventures of Sherlock Holmes” with Julia (Part III) (Alex Tantos)
Upcoming Julia and JuliaHub Events
- Storrs, Connecticut: Workshop: Integrating Declarative and Imperative Acausal Modeling with ModelingToolkit at American Modelica Conference with Dr. Chris Rackauckas (JuliaHub VP of Modeling and Simulation) and Brad Carman (JuliaHub Director of Consulting), October 14-16
- Online: Introducing JuliaSim: A Cloud Based Modeling Tool with Dr. Michael Tiller, JuliaHub Senior Director of Product Management, October 22
- Online: Mitsubishi Electric Research Laboratories: Building High-Fidelity HVAC Models with JuliaSim with Dr. Christopher Laughman (Senior Principal Research Staff, Mitsubishi Electric Research Laboratories) and Dr. Avinash Subramania (Software Engineer - Simulation, Control and Optimization at JuliaHub), October 29
- Online: Julia for Engineers: Part 1 Algorithms with David Dinh (Sales Engineer, JuliaHub), October 31
- Online: Multibody Modeling and Simulation with JuliaSim with Dr. Fredrik Bagge Carson (Senior Software Engineer, JuliaHub), November 6
- Phoenix: American Conference on Pharmacometrics (ACoP) with JuliaHub, November 10-13
- Online: Mastering Real-Time Control and Visualization with Genie Builder: Build an Interactive Robot Arm Dashboard with Dr. Pere Giménez and Adrian Salceanu, November 13
Recent Julia and JuliaHub Events
- Online: Julia for Engineers: Part 2 - Modeling with Brad Carman, JuliaHub Director of Consulting, September 26
- Cambridge, MA: Julia Meetup with Oscar Smith, Shreyas Ekanathan and Cambridge Area Julia Users Network (CAJUN) at Akamai October 2
- Online: Advanced Strategies for Optimal Control with Dr. Rajeev Shobhit Voleti, JuliaHub Control Systems Engineer, October 4
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.
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