Newsletter October 2021 - Julia for Biologists, Zombies and Fast AI

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.

Julia Community on Twitter: Julia Community Manager Logan Kilpatrick has created a Julia community on Twitter. Click here to learn more.

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.

Stiff Neural Ordinary Differential Equations: Chaos has published Stiff Neural Ordinary Differential Equations. The article is available here.

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.

• Compiler and Runtime Engineer

• Cloud Engineer

• Sales Engineer

• Julia Application Developer

• Security Engineer

• Semiconductor EDA Intern

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.

Pumas - Enhanced and In the Cloud: Pumas-AI has launched an enhanced version of Pumas that is readily accessible in the cloud. Pumas is the revolutionary advanced healthcare analytics platform that facilitates quantitative capabilities across the drug development cycle. Designed from the ground up in Julia, Pumas allows users to scale, integrate and accelerate their quantitative scientific activities all under one umbrella. Pumas is a product of Pumas-AI and deployed through the JuliaHub platform from Julia Computing to leverage JuliaHub's ease of use and scalability. Julia Computing is a technology partner and exclusive reseller of Pumas. Click here for more information.

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):

• JuliaHub - The Best Way to Run Large Scale Computing in the Cloud

• GUI Front Ends for Julia Programs on JuliaHub

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: Financial Modeling on Large, Streaming Datasets with Dr. Josh Day (Julia Computing) Oct 14

• Webinar: Efficient Use of 505 b(2) Pathway to Enter US Market with Dr. Joga Gobburu (Pumas-AI) Oct 21

• Webinar: Machine Learning on Time Series Data with Julia with Dr. Elliot Saba (Julia Computing) Oct 27

• Virtual Conference: American Conference on Pharmacometrics with Julia Computing and Pumas-AI Nov 8-12

• San Francisco: Design Automation Conference with Julia Computing Dec 5-9

Recent Julia Online Events

• Virtual Conference: Modelica Conference with Julia Computing Sep 20-24

• Virtual Conference: Geostats.jl Workshop with Júlio Hoffimann at FOSS4G Sep 28

Contact Us: Please contact us if you wish to:

• Purchase or obtain license information for products such as JuliaHub, JuliaSim or Pumas

• 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.