Newsletter April 2020 - Julia Computing Newsletter

We hope that you and your family are staying safe during this difficult time.

Julia Computing staff are available to meet your needs. We are working safely from home with our loved ones and we hope you are doing the same.

Due to the COVID-19 global pandemic we have suspended the publication of in-person Julia events in this month’s newsletter. Instead, we will continue to offer and promote online events, including online Julia Computing training courses.

JuliaCon 2020: Many people have asked whether JuliaCon will be moved online due to the COVID-19 global pandemic. The JuliaCon committee continues to monitor the situation closely. Please check here for the latest information.

Alan Edelman TEDxMIT Presentation Available Online: Julia Computing co-founder and Julia co-creator Alan Edelman’s presentation on ‘Julia: A Programming Language to Heal the Planet Together’ is now available on TED.com.

Tanmay Bakshi Talks Programming with Julia and Swift: TechTarget published a podcast and transcript of an interview with Tanmay Bakshi, author of Tanmay Teaches Julia for Beginners. Click here to read or listen.

Scientific Machine Learning: SciML is an open source software organization for scientific machine learning. “Scientific Machine Learning, abbreviated SciML, has been taking the academic world by storm as an interesting blend of traditional scientific mechanistic modeling (differential equations) with machine learning methodologies like deep learning.”

IBM Quantum Computing Vice President on Julia: IBM Fellow and Vice President of Quantum Computing Jay Gambetta commented on Roger Luo’s Julia benchmarks. To read the full exchange, click here.

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 at info@juliacomputing.com.

Julia Computing Enterprise Solutions

• JuliaSure: JuliaSure from Julia Computing provides full service development support, production support and indemnification for companies using Julia. Subscriptions are USD $99 per month. Click here to subscribe.

• JuliaTeam: JuliaTeam from Julia Computing lets your entire enterprise work together using Julia. Collaborate, develop and manage private and public packages across your organization, manage open source licenses and benefit from continuous integration, deployment, security, indemnity and enterprise governance. Click here for more information.

• JuliaRun: JuliaRun from Julia Computing helps you scale and deploy Julia using high performance computing (HPC) resources, including large parallel simulations and analyses in the cloud: AWS, Microsoft Azure or Google Cloud. Click here for more information.

Upcoming Julia Computing Online Instructor-Led Training Courses and Webinars: Julia Computing provides a number of online instructor-led training courses and events. Click the links below to register.

JuliaBox Sunsets May 31, 2020: Julia Computing has decided to sunset JuliaBox on May 31, 2020. If you are a JuliaBox user, you will no longer be able to log in, and if you are a paid JuliaBox subscriber, you will no longer be charged for JuliaBox after that date. We encourage all JuliaBox users to download and install JuliaPro for free before May 31, 2020. JuliaPro is free to download, install and use, and is the fastest on-ramp to Julia. With JuliaPro, you can install and use any private or public packages, including your choice from among more than 2,600 open source packages and more than 250 curated packages.

Julia v1.4 Released: Julia v1.4 has been released. For more information, please read the release notes.

CUDAnative 3.0 and CuArrays 2.0: CUDAnative 3.0 and CuArrays 2.0 have been released. Please click here for more information.

ScienceAdvances: A new article in ScienceAdvances titled ‘Learning to Learn from Data: Using Deep Adversarial Learning to Construct Optimal Statistical Procedures’ describes how researchers ran a generalized linear model in Julia 40 times faster compared with existing methods.

Julia Returns to Google Summer of Code: Julia returns to Google Summer of Code in 2020. Proposals may be submitted now. More information is available here including application guidelines and project ideas.

COVID-19 Modeling in Julia: Michael Green has published an epidemiological model of COVID-19 infection using Julia.

Julia and Julia Computing in the News

• ZDNet: Programming Language Julia: Version 1.4 Is Even Faster and Brings These New Features

• JaxEnter: Julia 1.4 Adds New Language Features and Library Updates

• DevClass: Julia Language Improves on Multi-Threading and Consistency

• BuiltIn: Engineering Leaders Discuss the Best Programming Languages to Learn Right Now

• TechRepublic: Getting Started with Julia

• UCL: Do You Know NumFOCUS?

• TechTarget: Tanmay Bakshi Talks Programming with Julia and Swift

Julia Blog Posts

• SciML: An Open Source Software Organization for Scientific Machine Learning

• DifferentialEquations.jl v6.12.0: DAE Extravaganza

• Bound Computation Using Linear Problems (Ole Kröger)

• VegaLite.jl v2.0.0 Released (David Anthoff)

• COVID-19 Visualization (Ole Kröger)

• Bayesian Sequential Learning (Al-Ahmadgaid B. Asaad)

• YouTube Videos, Mandelbrot & Enigma (Ole Kröger)

• COVID-19 in Denmark - An Epidemic in a Small Country (Michael Green)

• CUDAnative 3.0 and CuArrays 2.0

Upcoming Julia Events

• Online: Intro to Lattices; Riemann Theta Function in Julia with Bay Area Julia Users April 11

• Online: Intro to Julia with Matt Bauman (Julia Computing) April 15-16

• Online: PackageCompiler.jl and Static Compilation in Julia with Kristoffer Carlsson (Julia Computing) April 17

• Online: Intro to Machine Learning and Artificial Intelligence in Julia with Matt Bauman (Julia Computing) April 22-23

• Online: Building Production Applications Using Julia with Avik Sengupta (Julia Computing) April 24

• Online: Intro to Parallel Computing in Julia with Matt Bauman (Julia Computing) April 29-30

• Online: Pharmaceutical Modeling and Simulation Using Pumas with Vijay Ivaturi and Julia Computing April 30-May 1

Recent Julia Events

• Online: Pharmacology and Pharmacometrics Webinar using Pumas with Vijay Ivaturi March 6

• Online: Putting a Trained ML Pipeline Behind a Webserver to Serve It with Dhairya Gandhi (Julia Computing) March 13

• Online: Financial Modeling on Large, Streaming Datasets with Josh Day (Julia Computing) March 20

• Online: Building and Deploying a Language Model in Julia with Deepak Suresh (Julia Computing) March 27

• Online: SemiSocial Julia Users Chat with Lyndon White and All England Julia Users Group April 2

Julia Jobs, Fellowships and Internships

Do you work at or know of an organization looking to hire Julia programmers as staff, research fellows or interns? Would your employer be interested in hiring interns to work on open source packages that are useful to their business? Help us connect members of our community to great opportunities by sending us an email, and we'll get the word out.

There are hundreds of Julia jobs currently listed on Indeed.com. Click here to apply.

Contact Us: Please contact us if you wish to:

• Purchase or obtain license information for Julia products such as JuliaSure, JuliaTeam, or JuliaRun

• 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 event involving Julia

• Partner with Julia Computing to organize a Julia event online

• Submit a Julia internship, fellowship or job posting

About Julia and Julia Computing

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 more than 13 million times 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.

Julia Computing was founded in 2015 by all the creators of Julia to develop products and provide professional services to businesses and researchers using Julia.