Julia for Biologists: A new article, Julia for Biologists, explains how Julia meets the growing need for speed and performance in biology, including large genomic and imaging datasets. Click here for more information.
Julia for Zombies: Tim DuBois and George Datseris have modeled a zombie outbreak on a real map using Agents.jl with OpenStreetsMaps.jl. Click here for more information.
FastAI.jl: FastAI.jl v0.2.0 has been released, Lorenz Ohly explains, “...with a focus on high-level interfaces and support for tabular data. You can now train models on various tasks with only 4 lines of code.” Click here for more information.
Why Flux? Logan Kilpatrick presents an introduction to Flux.jl with a 90 second YouTube video: Why Flux? The Elegant Julia Machine Learning Library. The video has been viewed more than 5 thousand times in just two weeks.
Julia for Climate Change: Climate scientists used Julia for modeling Utilitarian Benchmarks for Emissions and Pledges Promote Equity, Climate and Development published in Nature Climate Change. The code is available here.
The Unreasonable Effectiveness of Multiple Dispatch: Julia Computing CEO and co-founder Viral Shah discussed The Unreasonable Effectiveness of Multiple Dispatch with Ben Lorica on The Data Exchange. Click here to listen.
Julia Computing and Pumas-AI Celebrate Two-Year Partnership: Julia Computing and Pumas-AI celebrate two years of partnership. In just two years, Pumas has been successfully tested and used by many of the world’s largest, most successful and most innovative pharmaceutical companies.
Careers at Julia Computing: Julia Computing is a fast-growing tech company with fully remote employees in 10 countries on 4 continents. Click the links below to learn more about exciting careers and internships with Julia Computing.
Please click here for more information and to apply.
Free Webinars from Julia Computing and Pumas-AI: Register today to participate in a free one hour Webinar from Julia Computing or Pumas-AI.
|Length of Webinar
|Financial Modeling on Large Streaming Datasets
|Dr. Josh Day, Senior Research Scientist at Julia Computing
|Thu Oct 14
|12 noon - 1 pm Eastern (US)
|Efficient Use of 505 b(2) Pathway to Enter US Market
|Dr. Joga Gobburu, Pumas-AI CEO and Director of the Center for Translational Medicine at the University of Maryland School of Pharmacy
|Thu Oct 21
|4 - 5 PM IST (India)
|Machine Learning on Time Series Data with Julia
|Dr. Eliot Saba, Senior Research Engineer at Julia Computing
|Wed Oct 27
|12 noon - 1 pm Eastern (US)
JuliaHub from Julia Computing: JuliaHub is the entry point for all things Julia: explore the ecosystem, build packages and deploy a supercomputer at the click of a button. JuliaHub also allows you to develop Julia applications interactively using a browser-based IDE or by using the Pluto notebook environment and then scale workloads to thousands of cores . Version 5 features a brand new user interface, reduced app startup latency, and many more usability enhancements. JuliaHub is the easiest way to start developing in Julia or share your work using dashboards and notebooks.
More information is available in these two presentations from Dr. Matt Bauman (Julia Computing):
JuliaSim: JuliaSim is a next generation cloud-based modeling and simulation platform, combining the latest techniques from scientific machine learning with equation-based digital twin modeling and simulation. There is more information about JuliaSim available in this presentation from Dr. Chris Rackauckas.
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? Julia Computing 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 Julia Computing and our partners to get your team up and running quickly. For more information, please contact us.
Julia and Julia Computing in the News
Nature Climate Change: Utilitarian Benchmarks for Emissions and Pledges Promote Equity, Climate and Development
Analytics Insight: 10 Best Data Science Programming Languages for Data Aspirants in 2021
InfoWorld: JetBrains Previews Data Science IDE
TransFin: SaaS, SaaS Market Size and SaaS Industry Trends: All You Need to Know
MakeUseOf: The 10 Best Programming Languages for AI Development
Julia Blog Posts
Hands-On Data Science with Julia (Bogumił Kamiński)
Updating Views in DataFrames.jl (Bogumił Kamiński)
Javis.jl Examples Series: Collatz Conjecture (Ole Kröger)
Vim for Julia - Another Look (Davis Barreira)
Upcoming Julia Events
Webinar: Efficient Use of 505 b(2) Pathway to Enter US Market with Dr. Joga Gobburu (Pumas-AI) Oct 21
Recent Julia Online Events
Contact Us: Please contact us if you wish to:
Obtain pricing for Julia consulting projects for your organization
Schedule online Julia training for your organization
Share information about exciting new Julia case studies or use cases
Spread the word about an upcoming online event involving Julia
Partner with Julia Computing to organize a Julia event online
Submit a Julia internship, fellowship or job posting
About Julia Computing and Julia
Julia Computing's mission is to develop products that bring Julia's superpowers to its customers. Julia Computing's flagship product is JuliaHub, a secure, software-as-a-service platform for developing Julia programs, deploying them, and scaling to thousands of nodes. It provides the power of a supercomputer at the fingertips of every data scientist and engineer. In addition to data science workflows, JuliaHub also provides access to cutting-edge products such as Pumas for pharmaceutical modeling and simulation, JuliaSim for multi-physics modeling and simulation, and JuliaSPICE for electronic circuit simulation, combining traditional simulation with modern SciML approaches.
Julia is the fastest high performance open source computing language for data, analytics, algorithmic trading, machine learning, artificial intelligence, and other scientific and numeric computing applications. 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 2019 James H. Wilkinson Prize for Numerical Software and the 2019 Sidney Fernbach Award. Julia has run at petascale on 650,000 cores with 1.3 million threads to analyze over 56 terabytes of data using Cori, one of the ten largest and most powerful supercomputers in the world.