We hope that you and your family are staying safe during this
challenging time. Julia Computing staff are working safely from home
with our loved ones and we hope you are doing the same.

Due to the COVID-19 global pandemic, Julia Computing has suspended our
participation in and the publication of in-person Julia events for the
time being. Instead, we will continue to offer and promote online
events, including online Julia Computing training courses, Webinars and
microtrainings.

Julia Researchers Create Verifiable Neural Net in Julia for COVID-19
Epidemiology Model: In January, Christopher Rackauckas et al.
published Using Differential Equations for Scientific Machine
Learning, which introduced
Universal Differential Equations (UDEs), combining the power of neural
networks in Julia with the transparency of differential equations. In a
new paper titled Quantifying the Effect of Quarantine Control in
COVID-19 Infectious Spread Using Machine
Learning,
MIT researchers Raj Dandekar and George Barbarastathis describe how they
use this method in Julia to create an epidemiology model of COVID-19
spread.

Pumas from Julia Computing for Pharmacology and Pharmacometrics:
Pumas from Julia
Computing provides end-to-end integration of machine learning and
artificial intelligence into pharmacology and pharmacometrics. For more
information, click here.

AstraZeneca Researchers Use Julia with a Bayesian Neural Network to
Predict Toxicity: A new paper titled A Bayesian Neural Network for
Toxicity
Prediction
describes how researchers from AstraZeneca and Prioris.ai use Julia and
Flux.jl to predict toxicity.

Julia for COVID-19 – MIT Open Course Registration Spikes +1,400%:
Course registration increased from 20 to
300
when Julia Computing Chief Scientist and MIT Professor Alan Edelman and
MIT Visiting Professor David Sanders included COVID-19 modeling in MIT’s
Introduction to Computational Thinking course. Course materials are
available here.

JuliaCon 2020: Due to COVID-19, JuliaCon 2020 will be held online
from July 27-31. JuliaCon ticket refund information will be available
soon. Click here for the latest updates.

New Julia Benchmarks: ParallelKmeans.jl is ‘orders of magnitude’
faster than Python’s scikit-learn, R and Clustering.jl. More information
is available
here.

What Scientists Must Know About Hardware to Write Fast Code: Jakob
Nybo Nissen has published a new tutorial: What Scientists Must Know
About Hardware to Write Fast
Code.

From COBOL to Julia: On COBOL and Legacy Systems: COVID-19 Turmoil
Calls For
Change
explains how and why the finance industry is transitioning from COBOL to
modern languages, including Julia. As Julia Computing CEO Viral Shah
explains in the article, “The amount of data is just too [large] …
they might as well embrace the new world and the new regulations with
the new systems.”

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 Products

• 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.

• Pumas: Pumas
  from Julia Computing is a comprehensive platform for pharmaceutical
  modeling and simulation, providing a single tool for the entire drug
  development pipeline. Click here for more
  information.

Free Webinar from Julia Computing – PackageCompiler and Static
Compilation in Julia: Did you miss Krisstofer Carlsson’s free Julia
Computing Webinar last month on PackageCompiler and Static Compilation
in Julia? Julia
Computing is publishing all of our free
Webinars and
Microtrainings
online at JuliaComputing.com. Registration is required.

Upcoming Julia Computing Online Trainings, Microtrainings and
Webinars: Julia Computing provides a number of online Trainings,
Microtrainings and Webinars. All are conducted by advanced Julia
Computing instructors. 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 and Julia Computing in the News

• ZDNet:
  Could a Neural Network Have Predicted this Pandemic’s Impact?

• Times of
  India:
  Some Old Languages Remain Gold: New Jersey Needs COBOL Coders

• WatersTechnology:
  On COBOL and Legacy Systems: COVID-19 Turmoil Calls For Change

• InsideBigData:
  Julia Language in Machine Learning: Algorithms, Applications, and
  Open Issues

• MIT
  News:
  Computational Thinking Class Enables Students to Engage in COVID-19
  Response

Julia Blog Posts

• Julia in Practice – Building Scattering.jl from
  Scratch:
  1,
  2,
  3,
  4,
  5,
  6 (Yi-Xin Liu)

• Usage and Testing of
  Rotation.jl
  (Yi-Xin Liu)

• FluxArchitectures: Where
  to Go from Here? Announcing
  ‘FluxArchitectures’,
  LSTNet,
  DA-RNN (Sören Dobberschütz)

• ConstraintSolver.jl:
  Str8ts,
  v0.1.0,
  Table
  Constraint
  (Ole Kröger)

• JuliaLang
  Antipatterns
  (Lyndon White)

• Measure Distance Between Spectrograms Using Dynamic Time Warping
  and Optimal
  Transport
  (Fredrik Bagge Carlson)

• ParallelKMeans.jl
  Package

• What Scientists Must Know About Hardware to Write Fast
  Code (Jakob Nybo Nissen)

Upcoming Julia Online Events

• Webinar: Julia with Kubernetes for Enterprise
  Scaling with Tanmay
  Mohapatra (Julia Computing) May 8

• Webinar: GPU Programming in
  Julia with Tim Besard
  (Julia Computing) May 14

• Virtual Meetup: Pre-Memorial Day Kickoff of Julia5280 (A Julia
  Programming Language
  Virtual Meetup)
  with Michael Mallari and Julia5280 May 21

• Online Microtraining: Machine Learning Workflow on
  JuliaRun with Deepak
  Suresh (Julia Computing) May 26

• Virtual Conference: Plugin
  AI with Viral Shah
  (Julia Computing) May 28-29

• Online Microtraining: BinaryBuilder – Building Binaries for Your
  Julia Packages for Fun and
  Profit with Elliot Saba
  (Julia Computing) May 29

• Online Training: Introduction to
  Julia with Julia
  Computing June 10-11

• Online Training: Introduction to Machine Learning and Artificial
  Intelligence in Julia with
  Julia Computing June 17-18

• Online Training: Parallel Computing in
  Julia with Julia
  Computing June 24-25

• Virtual Conference: JuliaCon 2020
  with Julia Computing July 27-31

Recent Julia Online 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

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 Computing products
  such as JuliaSure, JuliaTeam, JuliaRun 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 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.

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.

Julia for Public Health: As the infectious coronavirus causing COVID-19 spreads worldwide, we highlight two Julia developments in the area of public health: Pumas for accelerating clinical trials through a modern software stack, and a new paper on Infectious Disease Transmission Network Modelling with Julia by Justin Angevaare, Zeny Feng and Rob Deardon.

Pumas	Infectious Disease Transmission Network Modelling with Julia

Converting SAS Applications to Julia: Are you interested in converting SAS applications to Julia? Julia Computing partners with Great Lakes Consulting Services to help you accelerate replacement of existing SAS 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 Great Lakes Consulting Services to get your team up and running quickly. For more information, please contact us at info@juliacomputing.com.

New JuliaTeam Release: JuliaTeam from Julia Computing provides enterprise governance including private and package development, deployment, management, security, support and indemnification. The newest release:

• Supports Julia 1.4 and beyond

• Supports the latest Julia package protocol

• Provides new and simplified authentication systems that create a
  more robust user experience

• Allows users to run JuliaRun jobs with any major cloud provider –
  AWS, Azure or GCP

Upcoming Julia Computing Online Events: Julia Computing provides a number of free and affordable Webinars, micro-trainings and trainings on a wide range of topics. Click the links below to register.

Julia Returns to Google Summer of Code: Julia returns to Google Summer of Code in 2020. Proposals may be submitted beginning March 16. More information is available here including application guidelines and project ideas.

Google Code-In Contest: Avik Sengupta, Dhariya Gandhi and Logan Kilpatrick published a blog post about Julia’s first year of participation in Google Code-In: “Over the last couple of months, 212 young people have completed over 690 tasks using Julia as part of the Google Code-In program.” More information is available here.

JuliaCon 2020 Deadlines: JuliaCon 2020 will take place July 27-31 at ISCTE – Instituto Universitário de Lisboa (ISCTE-IUL) in Lisbon, Portugal.

1. JuliaCon 2020 Call for Proposals: JuliaCon 2020 proposals are due March 7, 2020. Proposal types include talks, lightning talks, minisymposia, workshops, posters and ‘Birds of a Feather’ breakout sessions. Please review submission guidelines, prepare and submit your proposal no later than March 7, 2020. Mentorship is also available for new presenters.

2. Financial Assistance to Attend JuliaCon 2020: If financial assistance will impact your ability to attend JuliaCon 2020, please apply no later than March 7, 2020.

3. Early Bird Ticket Discount: Early Bird Tickets are available for purchase now through April 20, 2020. Please purchase your tickets early to take advantage of discounted pricing.

4. JuliaCon 2020 Call for Volunteers: JuliaCon runs on volunteers! Please consider signing up to volunteer. JuliaCon volunteer opportunities include:

   • Mentors for new speakers
   • Proceedings reviewers
   • Talk submission reviewers
   • Financial assistance application reviewers
   • Local/onsite volunteers

5. JuliaCon 2020 Sponsors: JuliaCon relies on the support of sponsors. Click here for more information about becoming a JuliaCon sponsor.

Julia Voted “Most Exciting New Computer Language” for Bioinformatics: Bioinformaticians have voted Julia the “most exciting new computer language” for bioinformatics.

Julia Package GitHub Star History: Julia Computing’s Patrick Mogensen shared this graph of the GitHub star history for several popular Julia packages.

Is Python Finally Catching Up to Julia? Roger Luo notes that a popular Yao.jl technique for multi-QPU quantum computing is now available in Python.

Julia en Français: Une Introduction à Julia is available en Français.

Julia Alternatives to Python Pandas: Viral Shah, co-creator of Julia, co-founder and CEO of Julia Computing provided an answer to the question: What Are Some Alternatives to Python Pandas? Click here to see the answer.

Hands-On Design Patterns and Best Practices with Julia (Packt): Tom Kwong has published Hands-On Design Patterns and Best Practices with Julia. This book is a collection of patterns, documenting the best approaches to designing high-quality Julia applications. Its purpose is to provide developers with guidance on how to design and develop software in Julia and to serve as a reference for future discussions regarding design patterns in Julia. The book’s forward was written by Julia co-creator and Julia Computing co-founder Stefan Karpinski.

New Threading Capabilities in Julia v1.3: Jameson Nash (Julia Computing), Jeff Bezanson (co-creator of Julia and co-founder of Julia Computing) and Kiran Pamnany (Caltech) wrote an article published by Intel titled New Threading Capabilities in Julia v1.3. The article explains how Julia v1.3 facilitates multithreading quickly and easily.

LightGraphs Benchmarking: Tim Lin (Lynx Analytics) has produced new benchmarks comparing LightGraphs.jl with other popular graph packages. Special thanks to Seth Bromberger who suggested adding LightGraphs.jl to this benchmarking exercise.

Julia Helps Shed Light on the Origins of the Universe: Cosmologist Marius Millea uses Julia to develop next-generation tools to analyze the lensed Cosmic Microwave Background. More information is available on GitHub and Twitter.

Julia for Oceanography: Gael Forget (MIT) presented Julia Users and Tools for Oceanography at the Ocean Sciences Meeting in San Diego on February 18.

Coding the Mandelbrot Set in Julia (with GPU): Ole Kröger has released a new YouTube video on Coding the Mandelbrot Set in Julia (with GPU).

Enigma: Ole Kröger has released a new YouTube video titled Enigma: Endless Possibilities Is Not Enough.

Julia for Econometrics: Romeo Greminger published a presentation on Julia for Structural Econometrics (or: How I Learned to Stop Vectorizing and Love Julia).

Natural Language Processing in Julia: Ayush Kaushal, Lyndon White, Mike Innes (Julia Computing) and Rohit Kumar have published a paper in the Journal of Open Source Software titled WordTokenizers.jl: Basic Tools for Tokenizing Natural* *Language in Julia.

Deep Learning Using Neural Networks in Julia: Alex Luedtke, Marco Carone, Noah Simon and Oleg Sofrygin published Learning to Learn from Data: Using Deep Adversarial Learning to Construct Optimal Statistical Procedures in Science Advances. “For a two-dimensional generalized linear model, we found that it took approximately 40 times as long to evaluate our procedure on a dataset as to run a generalized linear model in Julia… We also compared the runtime of our learned clustering procedure to the EM and k-means implementations that we used, both of which were based on Julia code from publicly available repositories—links to these repositories can be found in our source code. On 10,000 randomly generated datasets, our learned procedure, on average, evaluated approximately 10 times faster than k-means and 400 times faster than EM. This improved runtime came at the cost of an initial offline training time of 6 hours on a GPU cloud computing service… We learned and interrogated our procedures in Julia. The neural networks for the point estimation and prediction experiments were fitted using Knet, and the neural networks for the confidence region construction experiments were fitted using Flux.”

New Papers from Timothy Holy Featuring Julia: Timothy Holy, Professor of Neuroscience at Washington University in St. Louis, has co-authored two new papers featuring Julia: Sensory Coding Mechanisms Revealed by Optical Tagging of Physiologically Defined Neuronal Types by Donghoon Lee, Maiko Kume, Timothy Holy and Fast Objective Coupled Planar Illumination Microscopy by Cody Greer and Timothy Holy.

Julia Computing Enterprise Solutions: Contact Julia Computing for more information about putting Julia to work for your organization, deploying Julia more efficiently, effectively and at scale.

• JuliaSure: JuliaSure provides enterprise support and indemnification for organizations using Julia.

• JuliaTeam: JuliaTeam provides enterprise governance including private and package development, deployment, management, security, support and indemnification.

• JuliaRun: JuliaRun allows you to scale Julia deployment from a single machine to dozens or hundreds of nodes in a public or private cloud environment, including AWS, Azure or Google Cloud.

JuliaBox 30 Day Free Trial: JuliaBox is now available with a 30 day free trial. JuliaBox is the fastest and easiest way to start using Julia right away with no download required. Register today to start your 30 day free trial.

JuliaBox Academic Discount: Hundreds of students and faculty at universities around the world use JuliaBox for classroom instruction and learning. Use free and open source materials to design your own course using Julia. JuliaBox starts at just $7 per month including a 50% academic discount. Sign up online or contact Julia Computing to take advantage of the academic discount or for more information.

Julia and Julia Computing in the News

• Analytics India: Top 6 Must-Attend AI & ML Conferences in India for 2020

• IProgrammer: Hands-On Design Patterns and Best Practices with Julia (Packt)

• MIT News: Brainstorming Energy-Saving Hacks on Satori, MIT’s New Supercomputer

• I Programmer: 10th Google Code-in Sets New Records

• CustomerThink: Top 10 Machine Learning-as-a-Service Providers 2020

• Analytics India: Top 10 Emerging Programming Languages in 2020

• Robot Report: Why and How to Run Machine Learning Algorithms on Edge Devices

• Analytics India: Why Jupyter Notebooks Are So Popular Among Data Scientists

Julia Blog Posts

• Intel Tech.Decoded: New Threading Capabilities in Julia v1.3 (Jameson Nash, Jeff Bezanson and Kiran Pamnany)

• Table Logging in Julia (Ole Kröger)

• DifferentialEquations.jl v6.11.0: Universal Differential Equation Overhaul (Chris Rackauckas)

• Mauve: In Search of a Color (Cormullion)

• Tables.jl 1.0 Release (Jacob Quinn)

• Collaborating on a Julia Project (Michele Pratusevich)

• JuliaLang: The Ingredients for a Composable Programming Language (Lyndon White)

• Building an Enigma Emulator and a Bombe (Ole Kröger)

• ElectronDisplay.jl v1.0.0 Released
  (Tony Lian)

• Almost Trivial: Parallelizing a Specialized Matrix Type in Julia (Mayeul d’Avezac)

• Google’s Code-In Contest Wrap Up (Avik Sengupta, Dhairya Gandhi and Logan Kilpatrick)

• Julia and The Reincarnation of Lisp (Arnuld)

Upcoming Julia Events

• Austin: MLSys with Mike Innes (Julia Computing) March 2-4

• Boulder: Julia Meetup with Boulder Data Science, Machine Learning and AI March 5

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

• Vancouver: Julia Compiler with Christian Weilbach and Programming in Julia March 12

• Münster: Let’s Meet Julia! with Mirko Bunse, Tobias Pfaff and Data Science Meetup Münster March 12

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

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

• Prague: Machine Learning in Julia with Avik Sengupta (Julia Computing) and Kevin O’Brien at Machine Learning Prague March 20-22

• Freiburg: Multiple Dispatch with Konstantinos Michailidis, Aaron Raphael Matthis and Julia User Group Freiburg March 24

• Vienna: Revise.jl & Debugging in Julia with Rene Donner and Vienna Julia Meetup March 24

• Warsaw: Introduction to Scientific Computing Using the Julia Language with Przemyslaw Szufel, Bogumił Kamiński and Warszawskie Forum Julia March 26

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

• Cambridge, UK: Cambridge 4 – A LightGraphs Tour – Flexible Toolkits and Abstractions with Lyndon White and All England Julia User Group April 2

• Cape Town: Pharmacometric Modelling & Simulation with Pumas.jl at the World Conference on Pharmacometrics with Vijay Ivaturi and Joga Gobburu April 5-6

• Munich: Julia – A Perfect Glue Language with Stephan Sahm and Julia User Group Munich April 8

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

• Vienna: Mathematical Optimisation Modelling in Julia with JuMP.jl with Rene Donner and Vienna Julia Meetup April 20

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

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

• Ljubljana: Population Approach Group in Europe (PAGE) with Andreas Noack, Patrick Mogensen, Deepak Vinchhi, Sushil Kumar (Julia Computing) and Vijay Ivaturi June 9-12

• London: AI Summit with Avik Sengupta and Sanjeeb Das Gupta (Julia Computing) June 10-11

• Louvain-la-Neuve, Belgium: 4th Annual JuMP-dev Workshop June 15-17

• Lisbon: JuliaCon 2020 at the ISCTE – Instituto Universitário de Lisboa July 27-31

• Denver: American Conference on Pharmacometrics with Andreas Noack, Patrick Mogensen, Deepak Vinchhi, Erik Mayo (Julia Computing) and Vijay Ivaturi October 4-7

Recent Julia Events

• Munich: Kickoff with Julia User Group Munich Feb 5

• Vienna: Testing & CI for Julia + VScode/Emacs/Vim Tips & Tricks with Rene Donner, Martin Trapp and Vienna Julia Meetup Feb 5

• Boulder: Julia Meetup with Boulder Data Science, Machine Learning and AI Feb 6

• Online: Introduction to Julia with Dr. Matt Bauman (Julia Computing) Feb 12-13

• Vancouver: Kickoff with Tooling with Christian Weilbach and Programming in Julia Feb 13

• Vienna: Revise.jl & Debugging in Julia with Rene Donner and Martin Trapp Feb 17

• Barcelona: February Julia Get-Together with Adrian Salceanu Feb 18

• San Diego: Julia Users and Tools for Oceanography with Gael Forget (MIT) at Ocean Sciences Meeting Feb 18

• Online: Introduction to Machine Learning and Artificial Intelligence in Julia with Dr. Matt Bauman (Julia Computing) Feb 19-20

• Palma de Mallorca: Julia for Non-Coders with Julia Mallorca Feb 21

• Online: Introduction to Machine Learning and Artificial Intelligence in Julia with Dr. Matt Bauman (Julia Computing) Feb 19-20

• Online: Scientific Machine Learning Webinar with Chris Rackauckas Feb 25

• Warsaw: O Pakietach w Języku Julia i Zarządzaniu Binarnymi Dependencjami with Przemyslaw Szufel and Bogumił Kamiński Feb 26

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 more than 300 Julia jobs currently listed on Indeed.com, including jobs at Accenture, Airbus, Amazon, AstraZeneca, AT&T, Barnes & Noble, BlackRock, Capital One, CBRE, Charles River Analytics, Citigroup, Comcast, Conde Nast, Cooper Tire & Rubber, Disney, Dow Jones, Facebook, Gallup, Genentech, General Electric, Google, Huawei, Ipsos, Johnson & Johnson, KPMG, Lockheed Martin, Match, McKinsey, NBCUniversal, Netflix, Nielsen, Novartis, OKCupid, Opendoor, Oracle, Pandora, Peapod, Pfizer, Raytheon, Spectrum, Wells Fargo, Zillow, Brown, BYU, Caltech, Dartmouth, Emory, Harvard, Johns Hopkins, Louisiana State University, Massachusetts General Hospital, MIT, Penn State, Princeton, UC Davis, University of Chicago, University of Delaware, University of Kentucky, UNC-Chapel Hill, USC, University of Virginia, Argonne National Laboratory, Federal Reserve Bank, Lawrence Berkeley National Laboratory, Los Alamos National Laboratory, National Renewable Energy Laboratory, Oak Ridge National Laboratory, Pacific Northwest National Laboratory, State of Wisconsin and many more.

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 conference, workshop, training, hackathon, meetup, talk or presentation involving Julia

• Partner with Julia Computing to organize a Julia meetup, conference, workshop, training, hackathon, talk or presentation involving Julia

• 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.