Newsletter July 2024 | JuliaHub Presentations at JuliaCon - Eindhoven July 9-13

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JuliaHub Presentations at JuliaCon: JuliaHub presenters will be part of more than 40 presentations at JuliaCon in Eindhoven July 9-13. Click each link below to read the presentation description.

JuliaCon 2024: JuliaCon 2024 takes place from July 9-13 in Eindhoven, Netherlands. Workshops will take place Tuesday July 9, presentations will be Wednesday July 10 through Friday July 12 and the hackathon will be Saturday July 13. Click here for more information and to register. All presentations will be live streamed on YouTube and edited videos will be posted on YouTube after the conference. The live stream and the edited presentations will be on the Julia YouTube channel and the links can also be found on the JuliaCon Website. If you subscribe to the Julia YouTube channel, you will be notified when the live stream begins.

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.

• Incrementally Porting Applications to GPUs Using CUDA.jl v5.4 with Dr. Tim Besard, JuliaHub Software Engineer, Wednesday, July 17, 1-2 pm Eastern (US)

New JuliaHub Blog Posts: JuliaHub publishes blog posts on new JuliaHub features, products, events and innovative uses of Julia. Click here to read.

• Genie App Competition 2024 for Prizes (Jasmine Chokshi)
• JuliaHub Air: Secure, High-Performance Computing for Government Innovation (Jasmine Chokshi)
• Announcing Genie Builder on JuliaHub: Web Apps that Bring your Julia Projects to Life (Jasmine Chokshi)
• Package Governance Tools on JuliaHub: Private Registries, Analytics and Policies (Deep Datta)

JuliaHub’s Dr. Chris Rackauckas Presents Scientific Machine Learning (SciML) to IEEE Conference on Artificial Intelligence (CAI): The Institute of Electrical and Electronics Engineers hosted Dr. Chris Rackauckas (JuliaHub VP of Modeling and Simulation) for a standing-room only presentation on scientific machine learning (SciML) at the Conference on Artificial Intelligence (CAI) in Singapore June 25-27. Click here for more information.

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 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: Spelunking the HPC and AI GPU Software Stacks
• Analytics Insight: Top Programming Languages for AI App Development in 2024
• Analytics Insight: Top 10 Future-Ready Programming Languages to Learn in 2024
• Towards Data Science: The One Billion Row Challenge in Julia
• SimpliLearn: 20 Best Programming Languages in 2024
• EFinancialCareers: The Coding Languages that Will Get You a Job in Banking and Finance, Ranked

Julia Blog Posts

• Genie App Competition 2024 for Prizes (Jasmine Chokshi)
• JuliaHub Air: Secure, High-Performance Computing for Government Innovation (Jasmine Chokshi)
• Announcing Genie Builder on JuliaHub: Web Apps that Bring your Julia Projects to Life (Jasmine Chokshi)
• Package Governance Tools on JuliaHub: Private Registries, Analytics and Policies (Deep Datta)
• JuliaCon 2024 Presentations Featuring JuliaHub Speakers
• Testing Push! on Julia 1.11 (Bogumił Kamiński)
• IdSet in Julia 1.11 (Bogumił Kamiński)
• Coin-Tossing Game: a Numerical Approach (Bogumił Kamiński)
• A Not-So-Simple Coin-Tossing Game (Bogumił Kamiński)
• WAW2024 Conference: June 3-6, 2024 (Bogumił Kamiński)
• It Is Almost Server Time! (Emma Boudreau)
• More Huge Strides On ChifiDocs (Emma Boudreau)
• Filling Out More Of My Documentation Website :) (Emma Boudreau)
• Taking Full Advantage Of Parametric Polymorphism With Julia (Emma Boudreau)
• Full Steam Ahead!!! (Emma Boudreau)
• Continuing The Chifi Documentation (Emma Boudreau)
• Efficient N-Gram Extraction for Digital Humanities Using Julia (Alex Tantos)
• Elevating Your Daily Dose of AI Efficiency with PromptingTools.jl (Alex Tantos)
• How Fast Can Julia Count Substrings? Exploring Efficient Methods and Benchmarks (Alex Tantos)
• Custom Language Data Analysis vs LLMs (Alex Tantos)
• Solving the Mystery of Fetching GitHub Data with Julia: A Sherlock Holmes Adventure (Alex Tantos)
• Text Preprocessing Made a Breeze with JuliaLang (Alex Tantos)
• Explorando el Mundo de los Paradigmas de Programación — Programación Paralela (Juan Villamoros)
• Training Naive Bayes… Really Fast (Roland Schätzle)
• Julia Network Anomaly Detection System (Aardvark Infinity)
• The One Billion Row Challenge in Julia (Vikas Negi)

Upcoming Julia and JuliaHub Events

• Eindhoven: JuliaCon 2024 July 9-13
• Online: Incrementally Porting Applications to GPUs Using CUDA.jl v5.4 with Dr. Tim Besard (JuliaHub Software Engineer) July 17

Recent Julia and JuliaHub Events

• Mainz: Julia User Group with Evangelos Moulas at Johannes Gutenberg University June 10
• Online: Battery Forum with JuliaHub June 10
• Online: JuliaHub Air: JuliaHub for Secure Computing Environments with Dr. Matt Bauman (JuliaHub Director of Customer Success) and Luke Amdor (JuliaHub Platform Director of Engineering) June 19
• Singapore: Institute of Electrical and Electronics Engineers (IEEE) Conference on Artificial Intelligence (CAI) with Dr. Chris Rackauckas (JuliaHub VP of Modeling & Simulation) June 25-27
• Online: Building an AI Chatbot for Julia Package Documentation with Genie Builder with Dr. Pere Giménez (Genie Data Science Advocate) June 27
• Mainz: Julia User Group at Johannes Gutenberg University July 1

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.