Newsletter March 2024 - Genie Builder Beta Launch - Create Web Apps and Dashboards Easily

Genie Builder Beta Launch: Genie Builder is the new easy way to build and share Web apps and dashboards using JuliaHub. Genie Builder features drag-and-drop UI editing, single-click deployment and hosting and the combined power and ease-of-use of Julia + JuliaHub. Click here for more information.

JuliaHub at International Battery Seminar and Exhibit (IBSE) in Orlando March 12-15: JuliaHub will showcase JuliaSimBatteries at the International Battery Seminar and Exhibit (IBSE) in Orlando, Florida from March 12-15. JuliaSimBatteries is an advanced tool for simulating lithium-ion batteries, integrating electrical, thermal and degradation physics. JuliaHub will also co-sponsor the Volta Foundation Happy Hour on Tuesday March 12. Click here for more information and to register for the International Battery Seminar and Exhibit (IBSE) and click here for more information and to register for the Volta Foundation Happy Hour.

Free Webinars from JuliaHub: JuliaHub provides free one-hour Webinars on a variety of topics. Registration is free but space is limited. Click the links below to register, or watch past Webinars here.

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. Click here for more information, to register and to take advantage of early bird pricing.

Barcelona Julia Meetup: Adopting Julia - ASML’s Journey and How to Transition from MATLAB will be held Thursday April 11 in Barcelona. Click here to register. Presentations include:

• ASML’s Julia Journey - Jorge Vieyra, ASML Senior Development Engineer
• From MATLAB to Julia: Learnings - Gareth Thomas, VersionBay Co-Founder
• A Beginner’s Intro to Julia - Pere Giménez, Genie Data Science Advocate

JuliaHub Blog Posts: JuliaHub has published several new blog posts. Click below to read.

• Digital Echo: A Process-Centric Approach to Industrial Surrogate Modeling (Dr. Chris Rackauckas, JuliaHub VP Modeling & Simulation)
• Unveiling Genie Builder: Create Low-Code Apps on JuliaHub (Deep Datta, JuliaHub Product Director)
• Empowering Julia Development: Exploring Static Code Analysis with JuliaHub and Semgrep (Deep Datta, JuliaHub Product Director)
• US National Security Standards and Julia’s Memory-Safe Capabilities (Phil Vernes, JuliaHub Sales Engineer)
• JuliaHub Showcases JuliaSim Batteries at the 41st International Battery Seminar & Exhibit (Jasmine Chokshi, Senior Content Strategist)
• Decoding Cell Variations: Optimizing Battery Manufacturing with JuliaSim Batteries (Jasmine Chokshi, Senior Content Strategist)

Symbolic Numerics: Dr. Chris Rackauckas (JuliaHub VP Modeling & Simulation) has also published a new blog post on symbolic numerics. Click here to read Symbolic-Numerics: How Compiler Smarts Can Help Improve the Performance of Numerical Methods (Nonlinear Solvers in Julia).

Semantic Versioning (Semver): Semantic Versioning (Semver) Is Flawed, and Downgrade CI Is Required to Fix It is another new blog post from Dr. Chris Rackauckas (JuliaHub VP Modeling & Simulation). Click here for more.

Physics-Enhanced Deep Surrogates for Partial Differential Equations: MIT and IBM Find Clever AI Ways Around Brute-Force Math is a new article from IEEE Spectrum about Physics-Enhanced Deep Surrogates for Partial Differential Equations, an article co-authored by Dr. Chris Rackauckas (JuliaHub VP Modeling and Simulation) which was published in Nature Machine Intelligence in December.

This Month in Julia World: Stefan Krastanov’s monthly Julia newsletter contains the latest Julia developments and more. Click here to read.

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.

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

• IEEE Spectrum: MIT and IBM Find Clever AI Ways Around Brute-Force Math
• BNN Breaking: Julia Programming Language's 15-Year Journey: Revolutionizing Technical Computing
• Built In: 6 Reasons to Learn Julia in 2024‍
• Analytics Insight: Why You Should Learn Julia in 2024
• Analytics Insight: R, Python, and Julia: A Comparative Study of Data Science
• Analytics Insight: Julia vs Python: Which One is Best for Data Science in 2024?
• DataScientest: Python vs Julia: Which Is the Best Language for Data Science?
• Outlook: Classroom To Career: Transitioning Tips For Aspiring Programmers

Julia Blog Posts

• Digital Echo: A Process-Centric Approach to Industrial Surrogate Modeling (Chris Rackauckas)
• Symbolic-Numerics: How Compiler Smarts Can Help Improve the Performance of Numerical Methods (Nonlinear Solvers in Julia) (Chris Rackauckas)
• Semantic Versioning (Semver) Is Flawed, and Downgrade CI Is Required to Fix It (Chris Rackauckas)
• Unveiling Genie Builder: Create Low-Code Apps on JuliaHub (Deep Datta)
• Empowering Julia Development: Exploring Static Code Analysis with JuliaHub and Semgrep (Deep Datta)
• US National Security Standards and Julia’s Memory-Safe Capabilities (Phil Vernes)
• JuliaHub Showcases JuliaSim Batteries at the 41st International Battery Seminar & Exhibit (Jasmine Chokshi)
• Decoding Cell Variations: Optimizing Battery Manufacturing with JuliaSim Batteries (Jasmine Chokshi)
• Dead Simple Bullseye Map (Richard Careaga)
• KISS and Tell (Richard Careaga)
• This Month in Julia World (Stefan Krastanov)
• Greetings in 52 Languages — Ace of Clubs (Quinn Penta)
• A Neural Network — Explained and Implemented in Julia (Mandar Angchekar)
• Julia Programlama Dili: “Gelecek” (Kubrakurucu)
• Unveiling the Power of Python, Julia, and Rust: A Comprehensive Comparison (Beck Moulton)
• 4 Most CRUCIAL Things to Know Before Parallel Computing (Emma Boudreau)
• Awesome Worker Distribution with Toolips 0.3 (Emma Boudreau)
• How to Test Your Software in Julia (Emma Boudreau)
• Parametric Processes! (Emma Boudreau)
• Calibrating an Ornstein–Uhlenbeck Process (Dean Markwick)
• TrillionDollarWords.jl (Patrick Altmeyer)
• Using Higher Order Functions in Julia Lang, a Demo (Alex Mantzaris)
• Julia Who? (David Dominguez Morales)
• Treinando uma Rede Neural em Julia
• Chi Square Test of Independence and Logistic Regression with Julia (Alex Tantos)
• Installing Julia on Vertex AI Workbench instances: A Step-by-Step Guide (Kel Markert)
• Changes in Random Number Generation Performance in Julia (Bogumił Kamiński)
• One Puzzle, Two Solutions (Bogumił Kamiński)
• Working with a Grouped Data Frame, Part 1 (Bogumił Kamiński)
• Working with a Grouped Data Frame, Part 2 (Bogumił Kamiński)
• Partial Function Application in Julia (Bogumił Kamiński)
• Efficient Julia Optimization through an MRI Case Study (Steven Whitaker)
• My First Julia Package - TriangulArt.jl (Jonathan Carroll)

Upcoming Julia and JuliaHub Events

• Orlando: International Battery Seminar and Exhibit (IBSE) with JuliaHub March 12-15
• Orlando: Volta Foundation Happy Hour co-sponsored by JuliaHub at the International Battery Seminar and Exhibit (IBSE) March 12
• Online: Revolutionizing Battery Quality: Strategies for Battery Defect Mitigation using JuliaSim with Dr. Marc Berliner (JuliaSim Batteries Lead Developer) and Dr. Ranjan Anantharaman (JuliaHub Sales Engineer) March 19
• Online: Mastering Interactive Dash Apps with Dash.jl: A Flight Traffic Visualization Journey on JuliaHub with Maja Gwóźdź (JuliaHub) March 21
• Online: Hands-On Parallelizing Simulations and Parameter Estimation with JuliaSim with Dr. Ranjan Anantharaman (JuliaHub Sales Engineer) March 26
• Online: Advancements in Acausal Modeling with ModelingToolkit v9 with Dr. Chris Rackauckas (JuliaHub VP Modeling and Simulation) April 2
• Mainz: Julia User Group with Hendrik Ranocha at Johannes Gutenberg University April 8
• Barcelona: Adopting Julia - ASML’s Journey and How to Transition from MATLAB with Barcelona Julia Meetup, Jorge Vieyra (ASML Senior Development Engineer), Gareth Thomas (VersionBay Co-Founder) and Pere Giménez (Genie Data Science Advocate) April 11
• Online: Comparative Analysis of Cell Chemistries with JuliaSim Batteries with Dr. Marc Berliner (JuliaSim Batteries Lead Developer) April 17
• Online: Time Series Forecasting: Predictive Analytics for Future Insights with Phil Vernes (JuliaHub Sales Engineer) April 26
• Mainz: Julia User Group with Boris Kaus at Johannes Gutenberg University May 6
• Mainz: Julia User Group with Evangelos Moulas 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

• 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
• Delft: Numerical Modeling with Julia @ Deltares with Dr. Tim Besard (JuliaHub Software Engineer), Huite Bootsma (Deltares), Dr. Domenico Lahaye (TU Delft) and JuliaLang Eindhoven March 6
• Mainz: Julia User Group with Hendrik Ranocha at Johannes Gutenberg University March 7

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