Newsletter February 2024 - Next Gen Battery Simulation with JuliaSim

Next Gen Battery Simulation with JuliaSim: Dr. Marc Berliner (JuliaSim Batteries Lead Developer) and Dr. Chris Rackauckas (JuliaHub VP Modeling and Simulation) are leading a free Webinar Thursday February 22 on Next Gen Battery Simulation: Solving 1,000 Cell Electrochemical Battery Packs with JuliaSim. This Webinar is free but registration is required.

Functional Mockup Unit and Genie Builder Webinars: Other free February Webinars sponsored by JuliaHub include Ingesting and Deploying Functional Mockup Units in JuliaSim with Dr. Ranjan Anantharaman (JuliaHub Sales Engineer) and Build Data-Centric Web Applications in Julia with Genie Builder with Dr. Pere Giménez (Genie Data Scientist and Developer Advocate) and Adrian Salceanu (Genie Co-Founder and Genie Framework Creator). These Webinars are free but registration is required.

Julia Growth Statistics: Julia use and awareness continue to grow rapidly.

JuliaCon 2024: 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.

Julia 1.10 Released: Julia 1.10 contains a number of new and improved features including:

• New parser written in Julia
• Package load time improvements
• Improvements in stacktrace rendering
• Parallel garbage collection
• Tracy and Intel VTune ITTAPI profiling integration
• Upgrade to LLVM 15
• Linux AArch64 stability improvements
• Parallel native code generation for system images and package images
• Avoiding races during parallel precompilation
• Parallel precompile on using

More information is available in Julia 1.10 Highlights.

Why Julia? Do you have a colleague who wants to know what makes Julia different, better and more exciting? Why Julia? is a new white paper from JuliaHub that can help answer these questions. Click here to read it.

Build a Data-Rich Dashboard App on JuliaHub: JuliaHub’s Michael Bologna published a new blog post describing how to Build a Data-Rich Dashboard App on JuliaHub. Click here to learn more.

JuliaHub CEO and Co-Founder Dr. Viral Shah with Forbes India: Forbes India’s Harichandan Arikali interviewed JuliaHub CEO and co-founder Dr. Viral Shah for the Startup Fridays podcast. Click to watch Viral Shah on the Journey of Julia Programming Language to Tackle the 'Two Language Problem' or listen to Viral Shah on the Mission at JuliaHub to Help Scientists and Engineers Innovate Faster.

Julia Monthly Newsletter: Professor Stefan Krastanov (University of Massachusetts Amherst College of Information and Computer Science) publishes a monthly Julia newsletter. Click here to read it.

MIT News - Julia for Partial Differential Equations: Technique Could Efficiently Solve Partial Differential Equations for Numerous Applications is a new article from MIT News featuring Dr. Chris Rackauckas (JuliaHub VP of Modeling and Simulation) and collaborators about the use of Julia to solve partial differential equations. Click here for more.

Julia for Offshore Wind: Researchers at SINTEF Energy (Norway), including Dr. Avinash Subramanian (JuliaHub Control Engineer) published Hydrogen for Harvesting the Potential of Offshore Wind: A North Sea Case Study, using Julia to analyze the use of hydrogen to harvest offshore wind energy. Click here to read.

Julia for Earth Observation: The second annual Global Workshop on Earth Observation with Julia was held in the Azores January 8-12. João Pinelo, Director of Data Science, Computing and Software Development at the AIR Centre noted that in-person participation was at capacity (44 people) with around 200 total participants, including online. JuliaHub VP of Modeling and Simulation Dr. Chris Rackauckas presented, among others. More information is available from the AIR Centre and from Açores 9.

Julia for Visualizing Molecules: Visualization of Molecules at Surfaces is a new blog post from Alex Riss describing how to use Julia to improve visualizations of molecules. Click here for more.

Julia for Actuaries: An Actuary’s Guide to Julia: Use Cases and Performance Benchmarking in Insurance is a new white paper from Milliman. Click here to read.

Julia for Quantum Computing: Solving Differential-Algebraic Equations in Power Systems Dynamics with Quantum Computing is a new paper using Julia for power system dynamics. Click here to read.

Julia for Climate Change: The Social Costs of Hydrofluorocarbons and the Benefits from their Expedited Phase-Down is a new paper published in Nature Climate Change using Julia to analyze climate change. Click here to read.

Julia for Antimicrobial Resistance Analysis in Wastewater: Host-Plasmid Network Structure in Wastewater Is Linked to Antimicrobial Resistance Genes is a new paper in Nature Communications. Click here to read.

Free Julia JuMP Optimization Course in Portuguese: Fundação Getulio Vargas provided a free summer Julia course in person and online using JuMP for optimization from Jan 3 - Jan 15. The instructor is Bernardo Freitas Paulo da Costa and the course title is  Métodos Computacionais para Otimização em Julia.

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 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.

Julia and JuliaHub in the News

• Analytics India: Julia’s Rise in Scientific Computing
• Analytics Insight: Essential Programming Languages for Machine Learning
• Analytics Insight: 8 Programming Languages to Enhance a Data Analyst Resume
• Forbes India: Viral Shah on the Journey of Julia Programming Language to Tackle the 'Two Language Problem'
• Forbes India: Viral Shah on the Mission at JuliaHub to Help Scientists and Engineers Innovate Faster
• PumasAI: PumasAI Maintains Strong Growth Trajectory with New Product Engineering and Pharmacometrics Hires from JuliaHub and Pfizer
• MIT News: Technique Could Efficiently Solve Partial Differential Equations for Numerous Applications
• I Programmer: Julia 1.10 Updates Parser
• Science Direct: Hydrogen for Harvesting the Potential of Offshore Wind: A North Sea Case Study
• ChemRxiv: Advancing Odor Classification Models Enhanced by Scientific Machine Learning and Mechanistic Model: Probabilistic Weight Assignment for Odor Intensity Prediction and Uncertainty Analysis for Robust Fragrance Classification
• Arxiv: Solving Differential-Algebraic Equations in Power Systems Dynamics with Quantum Computing
• Analytics Insight: New Programming Languages in AI to Learn in 2024
• Nature Climate Change: The Social Costs of Hydrofluorocarbons and the Benefits from their Expedited Phase-Down
• Nature Communications: Host-Plasmid Network Structure in Wastewater Is Linked to Antimicrobial Resistance Genes
• XDA Developers: How to Use Jupyter Notebook on Windows, Linux, and macOS
• Market Scoop: Data Science Platform Statistics: A New Learning Tech
• Milliman: An Actuary’s Guide to Julia: Use Cases and Performance Benchmarking in Insurance
• AI Business: Top 10 Stories of the Year: It's All About Generative AI
• Programmation: Programming Language Benchmark v2 (plb2) Évalue les Performances de 20 Langages de Programmation sur Quatre Tâches Gourmandes en CPU
• FGV: FGV EMAp Offers Summer Program with Free Courses
• Açores 9: Cientistas de Harvard e MIT nos Açores num Encontro Sobre Linguagem de Programação Julia
• BioSpace: PumasAI Maintains Strong Growth Trajectory with New Product Engineering and Pharmacometrics Hires from JuliaHub and Pfizer
• Quantum Insider: QuEra and Pawsey Partner to Drive Innovation in Quantum Computing and Supercomputing
• Analytics Insight: Top Programming Languages for Data Scientists in 2024
• Unite.AI: What is the Best Language for Machine Learning? (January 2024)
• Tech Target: 18 Data Science Tools to Consider Using in 2024

Julia Blog Posts

• Julia 1.10 Highlights
• Build a Data-Rich Dashboard App on JuliaHub (Michael Bologna)
• Visualization of Molecules at Surfaces (Alex Riss)
• This Month in Julia World (Stefan Krastanov)
• Creating the Toolips In-Module WebServer (1) (Emma Boudreau)
• Parametric Processes! (Emma Boudreau)
• Building Toolips In-Module Documentation and Server Manager (2) (Emma Boudreau)
• Key Differences Between Python and Julia (Emma Boudreau)
• The Julia Guide to Extensible Software (Emma Boudreau)
• 5 Julia Tricks for High-Level Syntax (Emma Boudreau)
• Loading … (Emma Boudreau)
• Break into Julia in 2024! (Emma Boudreau)
• 5 Game-Changing Applications of Method Introspection in Julia (Emma Boudreau)
• Everything You Need to Know about Vectors in Julia (Emma Boudreau)
• Unveiling the New Toolips (Emma Boudreau)
• Building a Proxy Server In Julia (Emma Boudreau)
• Starting My UDP DNS Server (Emma Boudreau)
• Finishing My Julia Process Manager (Emma Boudreau)
• A Quick Parametric Process Manager in Julia (Emma Boudreau)
• The Great Re-Packaging (Emma Boudreau)
• Implementing Parametric-Source Load-Balancing on My Julia Proxy Server (Emma Boudreau)
• Distributed.jl — Distribute Parallel Tasks in Julia with Ease (Emma Boudreau)
• Julia Documentation Tips (Emma Boudreau)
• Coming Very Soon: Gattino (Emma Boudreau)
• Chifi Software Update — 2024 (Emma Boudreau)
• Olive 0.0.92 — A Really AWESOME Olive Release (Emma Boudreau)
• 5 Julia Tricks For High-Level Syntax (Emma Boudreau)
• January? More Like Planuary. (Emma Boudreau)
• Finishing ChiNS DNS Headers (Emma Boudreau)
• An Exciting Week! — Chifi Update 12/18/2023 (Emma Boudreau)
• Handling Unknown Arguments in Julia (Emma Boudreau)
• Is There an Optimal Temperature and Top-p for Code Generation with Paid LLM APIs? (Jan Siml)
• GenAI Mini-Tasks: Interactive Topic Explorer With LLMTextAnalysis.jl (Jan Siml)
• Running a 70 Billion-Parameter LLM on Your Laptop? (Jan Siml)
• GenAI Mini-Tasks: Advanced Data Extraction Techniques (Jan Siml)
• Julia LLM Leaderboard: Benchmarking GenAI In Julia Coding (Jan Siml)
• Beyond Black Box: Enhancing Model Explainability with LLMs and SHAP (Jan Siml)
• Duplicate No More: Clean up the Contact Data in Minutes with LLMs (Jan Siml)
• Duplicate No More Pt. 2: Mastering LLM-as-a-Judge Scoring (Jan Siml)
• Concepts to Spectrums: Unleashing LLM’s Power in Text Analysis (Jan Siml)
• Fast-Track Data Science: Classification with LLMs (Jan Siml)
• Building a RAG Chatbot over DataFrames.jl Documentation - Hands-on Guide (Jan Siml)
• Building a RAG Chatbot over DataFrames.jl Documentation - Easy Mode (Jan Siml)
• AIHelpMe.jl: AI-Enhanced Coding Assistance for Julia (Jan Siml)
• Jingle All the Way with the Latest PromptingTools.jl Updates! (Jan Siml)
• What to Do When You Are Stuck with Julia? (Bogumił Kamiński)
• Working with Vectors Using DataFrames.jl Minilanguage (Bogumił Kamiński)
• Code Cleanup for the New Year (Bogumił Kamiński)
• Evolution of DataFrames.jl Load Time (Bogumił Kamiński)
• Advanced Econometrics with Julia (Bogumił Kamiński)
• DataFrame vs. NamedTuple: a Comparison (Bogumił Kamiński)
• My Understanding of Object Property Access in Julia (Bogumił Kamiński)
• A Little Exercise in CSV.jl and DataFrames.jl (Bogumił Kamiński)
• How to Easily Run PDDL Solvers in Your Own Infrastructure (Ramón Barrios Láscar)
• Cómo Correr Fácilmente Solvers PDDL en Tu Propia Infraestructura (Ramón Barrios Láscar)
• How to (Almost) Never Lose A Game (Alex Loudenback)
• Experiments Automation with Julia (César Bertoni)
• Quantitative Image Analysis in Julia (Walter Dal’Maz Silva)
• One & Two Layer Neural Network by Scratch in Julia Trained on MNIST (Full Implementation Included) (Rohan Dani)
• Programming Languages of the Future: Highlights in 2024 (Gokhan Yalcuk)
• Embracing Julia in 2025: A Love Letter to the Language of Possibilities (M Rifqan Zalbina)
• Remix Institute Predictions for 2024 (Douglas Pestana)
• Make Beautiful Websites with R — Part 1: Introduction (Mehmet Doğun)
• Julia on the Web: Exploring Dash.jl for Interactive Data Storytelling (Manu Francis)
• Installing Julia on Ubuntu (Davis Barreira)
• Jupyter: Pequeñas Consultas a APIs, el Caso del Sistema Nacional de Información e Indicadores de Vivienda (SNIIV) (Claudio Daniel Pacheco Castro)
• Effortless Cool Is A Detailed Process — How To Influence, Tell Better Stories, and Become More Persuasive (Douglas Pestana)
• Julia's Parallel Processing (Great Lakes Consulting)
• Delving into Advanced Types within the Julia Type System (Justyn Nissly)
• Exploring Julia 1.10 - Key Features and Updates (Steven Whitaker)
• Delving into Open Source Packages for Julia (Steven Whitaker)
• Julia Programming Language, Why You Should Bother Learning About It (Kevin Njuguna)
• Personal Julia 2023 Retrospective (Abel Soares Siqueira)
• Conformalize a Time Series Model Using Julia (Mojtaba Farmanbar)
• From Julia Package Cloning to Customization: A Step-by-Step Workflow (Alex Tantos)
• Example of Analyzing Stock Data Using PCA and Radial Plots with Julia Lang (Alex Mantzaris)
• Exploring Food Emissions Using the Banana-Index, K-medoids and Julia Lang (Alex Mantzaris)
• Unleashing the Power of Code: How to Get Started with AI Programming for Beginners (Adan Mahmoud)

Upcoming Julia and JuliaHub Events

• Online: Ingesting and Deploying Functional Mockup Units in JuliaSim with Dr. Ranjan Anantharaman (JuliaHub Sales Engineer) February 15
• Online: Next-Gen Battery Simulation: Solving 1,000 Cell Electrochemical Battery Packs with JuliaSim with Dr. Marc Berliner (JuliaSim Batteries Lead Developer) and Dr. Chris Rackauckas (JuliaHub VP Modeling and Simulation) February 22
• Online: Build Data-Centric Web Applications in Julia with Genie Builder with Dr. Pere Giménez, Genie Data Scientist and Developer Advocate and Adrian Salceanu, Genie Co-Founder and Genie Framework Creator February 29
• Online: Comparative Analysis of Cell Chemistries with JuliaSim Batteries with Dr. Marc Berliner (JuliaSim Batteries Lead Developer) March 5
• Mainz: Julia User Group with Boris Kaus at Johannes Gutenberg University March 7
• Online: Preparing for Manufacturing Defects with JuliaSim Batteries with Dr. Marc Berliner (JuliaSim Batteries Lead Developer) and Dr. Ranjan Anantharaman (JuliaHub Sales Engineer) March 19
• Mainz: Julia User Group with Evangelos Moulas at Johannes Gutenberg University April 8
• Mainz: Julia User Group at Johannes Gutenberg University May 6
• Mainz: Julia User Group at Johannes Gutenberg University June 10
• Mainz: Julia User Group at Johannes Gutenberg University July 1
• Eindhoven: JuliaCon 2024 July 9-13

Recent Julia and JuliaHub Events

• Mainz: Making Dynamic Program Programs Run Fast with Valentin Churavy (MIT JuliaLab) at Johannes Gutenberg University December 21
• Rio de Janeiro: Métodos Computacionais para Otimização em Julia with Bernardo da Costa at FGV EMAp January 3-15
• Bangalore: DevPalooza 2.0 with Dr. Viral Shah (JuliaHub CEO and Co-Founder and Julia Co-Creator) January 6
• Mainz: From High-Level Code to Low-Level Performance Optimizations with Hendrik Ranocha at Johannes Gutenberg University January 8
• Terceira, Azores: JuliaEO24 Global Workshop on Earth Observation with Julia with Dr. Chris Rackauckas (JuliaHub VP Modeling and Simulation) January 8-12
• Cambridge, MA: Finch: A Compiler for Sparse Tensor Map-Reduce and Much Much More! with Willow Arens and Cambridge Area Julia User Network (CAJUN) January 23
• Mainz: Julia User Group with Thomas Berkemeier at Johannes Gutenberg University February 5
• Linköping: OpenModelica with Dr. Chris Rackauckas (JuliaHub VP Modeling and Simulation) at Linköping University February 6

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.