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.” For more information, click
here.

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 an NPL 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.