Newsletter April 2019

New Julia Debugger and Interpreter Is Released: The much-anticipated
new Julia debugger and
interpreter has been
released by creators Tim Holy (Professor of Neuroscience at Washington
University in St. Louis), Sebastian Pfitzner (Julia Computing, Institut
für Physik Humboldt-Universität zu Berlin), Kristoffer Carlsson (Julia
Computing) and Keno Fischer (Co-Founder and CTO Tools at Julia
Computing).

The new Julia debugger incorporates
JuliaInterpreter,
Juno,
Debugger,
Rebugger,
Revise,
LoweredCodeUtils
and CodeTracking into a
fully featured debugger, interpreter and integrated development
environment.

The new Julia debugger allows users to:

  • Step into functions and manually walk through your code while inspecting its state

  • Set breakpoints and trap errors, allowing you to discover what went wrong at the point of trouble

  • Interactively update and replace existing code to rapidly fix bugs in place without restarting

  • Use the full-featured IDE in Juno to bundle all these features together in an easy to use graphical interface

For more information, read the creators’ blog post or the article in TechRepublic.

Turing Award Winner Yann LeCun Discusses Julia: Turing Award winner
Yann LeCun,
Facebook’s Chief Artificial Intelligence Scientist, and Facebook’s
Soumith Chintala
join the Google Brain artificial intelligence team in recognizing Julia’s advantages for deep learning.

The Google
Brain
artificial intelligence team came to a similar conclusion last year as
they sought to improve on TensorFlow for Python, having narrowed down
their alternatives to Swift and Julia: “In the end, we narrowed the list
based on technical merits down to Swift, Rust, C++, and potentially
Julia. We next excluded C++ and Rust due to usability concerns, and
picked Swift over Julia because Swift has a much larger community, is
syntactically closer to Python, and because we were more familiar with
its internal implementation details – which allowed us to implement a
prototype much faster.”

Keno Fischer Conducts Quora Session by Invitation on Machine Learning
and Julia: Julia Computing Co-Founder and CTO (Tools) Keno Fischer was
invited to discuss the present and future of machine learning and Julia
on Quora. Click
here to read.

NASA Interviews Viral Shah About Circuitscape: The US National
Aeronautics and Space Administration (NASA) interviewed Viral
Shah
(Julia Co-Creator, Julia Computing Co-Founder and CEO) about
Circuitscape, a computational landscape ecology application built with
Julia. Circuitscape applies electrical circuit theory to predict human,
animal, plant and genetic migration in response to climate change.
Migrating Circuitscape from Python to Julia resulted in an 8x
acceleration. For more information, please read the interview with
Viral,
visit the Circuitscape Website, read the
Circuitscape case
study on
the Julia Computing Website, watch Ranjan Anantharaman’s presentation
on Circuitscape at
JuliaCon 2018, or visit the Nature Conservancy’s Migrations in Motion
map.

Julia Climbs in RedMonk Ranking: Julia
rose
from #36 to #34 in RedMonk’s ranking of programming languages for Q1
2019.

Differentiable Programming with Flux.jl: Mike Innes (Julia
Computing) presented Differentiable Programming with
Flux at the London
Julia User Group Meetup at the Microsoft Reactor in London. Mike Innes
and Google Summer of Code participants Neethu Maria Joy and Tejan Karmal
also published a blog on Reinforcement Learning vs. Machine
Learning on the Flux
Website.

JuMP-dev 2019: Stefan Karpinski (Julia Co-Creator, Julia Computing
Co-Founder and CTO Open Source) presented on the Unreasonable
Effectiveness of Multiple
Dispatch at JuMP-dev 2019
in Santiago, Chile.

JuliaCon 2019: JuliaCon 2019 will be
held July 22-26 at the University of Maryland, Baltimore. Early Bird
Ticket Sales are open now.

  • JuliaCon is looking for sponsors and university partners in diversity. Sponsorship is available at several levels and benefits include prominent mention and logo placement at JuliaCon and in JuliaCon conference materials and Website, an opportunity to present to JuliaCon participants, presentation space during the conference and registration for JuliaCon attendees. Past JuliaCon sponsors include the Alfred P. Sloan Foundation, Microsoft, Maven, Invenia, Julia Computing, Capital One, Gordon and Betty Moore Foundation, Gambit Research, Tangent Works, Amazon, Alan Turing Institute, Jeffrey Sarnoff, EVN and Conning.

  • Financial assistance for registration and travel is available for those who require assistance in order to attend if they are Google Summer of Code (GSoC) students, accepted speakers or attendees who increase the diversity of the Julia community. Financial assistance is limited, so please apply now if you are eligible and if you require financial assistance to attend JuliaCon.

JuliaTeam: JuliaTeam from Julia Computing enables enterprise
governance, making it easy and safe to install Julia packages within
your firewall, help administrators keep track of what packages and
versions are in use and ensure that all your external dependencies are
secure and up-to-date.

Upcoming
JuliaTeam
releases will include these features as well:

  • Read and search docs for all internal and external packages in a single place

  • Create and manage private package registries

  • Publish and test private packages as easily as public ones, making sure new versions work seamlessly with all the other versions of packages that your teams are using

  • Benchmark your code to make sure it runs as efficiently as possible and stays fast

  • Download a summary of licenses of all the software you depend on

For more information, contact Julia
Computing.

JuliaDB: JuliaDB is a Julia Computing database product designed for
big data. Features include just-in-time compilation, parallel computing,
flexible type storage, fast UDFs and a fast CSV parser. JuliaDB in
Julia 1.0
describes some of these features.

JuliaAcademy: Julia Computing’s training offerings continue to
expand. JuliaAcademy is the Julia
Computing training platform for 3 types of learning: self-directed,
online instructor-led and in-person onsite training.

JuliaAcademy courses include: Intro
to Julia, Machine Learning and Artificial Intelligence in Julia,
Parallel Computing in Julia, Deep Learning with Flux, Optimization with
JuMP and Machine Learning with Knet.

JuliaAcademy provides:

  1. Self-directed training – all online, learn at your own pace

  2. Instructor-led online training – live two-day courses taught by Julia Computing instructors

  3. In-person training – contact us at info@juliacomputing.com to schedule customized in-person training for your organization

Register now for instructor-led online courses. All courses include 8
hours of instruction: 4 hours per day for two consecutive days.
Currently scheduled courses are from 11 am – 3 pm Eastern Daylight Time
(US).

Course Title and Description Date (11 am – 3 pm EDT) Cost Register
Introduction to Julia April 24-25 $250 Register
Introduction to Machine Learning and Artificial Intelligence in Julia May 2-3 $500 Register
Parallel Computing in Julia May 8-9 $500 Register

Geostatistics with GeoStats.jl: The International Association for
Mathematical Geosciences
(IAMG)
annual conference Aug 10-16 in State College, PA will feature a short
course on Geostatistics with
GeoStats.jl
led by Júlio Hoffimann Mendes (IBM Research).

ODSC East: ODSC East is the world’s
leading applied data science conference, with 350+ hours of expert-led,
hands-on talks and workshops on machine learning, deep learning, natural
language processing, machine vision, data visualization and more.
Network with 7,000+ peers, demo new platforms from top companies and
boost your career, April 30 to May 3, in Boston. Use code ODSC_JuliaCon
to sign up.

Julia and Julia Computing in the News

  • NASA: Conservation Through Coding – 5 Questions with Viral Shah

  • Analytics India: How Julia Is Making AI and ML Better

  • Analytics India: 5 Julia-Specific IDEs Developers Should Know

  • Analytics India: Can Julia Be the New Python? Here’s What You Need to Know

  • Analytics India: FB’s New Python Library Nevergrad Provides a Collection of Algorithms that Don’t Require Gradient Computation

  • Bio-IT World: Data Management And Data Transfer Technologies Giving A Spark To Collaboration

  • DevClass: AWS Tunes TensorFlow for Latest Deep Learning Images

  • DevClass: Mozilla Wants Iodide to Breathe Life into Data Science Documents

  • Heise: Deep Learning: MXNet 1.4 Ist Reif für Inferenz in Java-Umgebungen

  • HPCWire: Top Ten Ways AI Affects HPC in 2019

  • Inside HPC: IBM Powers AI at the GPU Technology Conference

  • Inside HPC: New Texascale Magazine from TACC looks at HPC for the Endless Frontier

  • iProgrammer: Apache MXNet Deep Learning Adds Julia API

  • iProgrammer: End Manual Data Entry in Excel

  • IT Jungle: What New Language Will IBM i Support Next?

  • JAXenter: TensorFlow Lite 1.0 Brings Improvements to Mobile Machine Learning

  • JAXenter: JavaScript Reigns Supreme while TypeScript and Julia Surprise with their Growth in New RedMonk Report

  • JAXenter: TensorFlow, Python, and Julia Helped Make 2018 the Year of Machine Learning on GitHub

  • Lei Feng: 芯片行业30年资深人士：AI为何是高性能计算史上 “最大的变革推动者”

  • MMS Holdings: GHP Recognises MMS Holdings in the 2019 Biotechnology Awards Winners

  • SDTimes:

    Julia Debugger Has Been Released

  • TechRepublic: Time to Try the Julia Programming Language? Python Challenger’s New Debugger Fixes Major Complaint

  • TechRepublic: How to Learn Julia: A Resources Guide for Developers

  • TechRepublic: Getting Started with Julia: A List of Resources

  • TechRepublic: Mozilla’s Iodide Tool Helps Data Scientists Write Interactive Reports

  • TechRepublic: プログラミング言語「Julia」の新サービス「JuliaTeam」–企業への導入を後押し

  • TechRepublic:

    Want to Learn the Fastest-Growing Programming Languages of 2019?
    Check Out these Two Unstoppable Newcomers

  • TechRepublic: Why PowerShell Is Now One of the Most Popular Programming Languages

  • Wired: TypeScript’s Quiet, Steady Rise Among Programming Languages

  • ZDNet: Programming Languages: PowerShell Nets More Linux, macOS, Windows Developers

  • ZDNet: Microsoft’s TypeScript Programming Language Rising Fast, Almost Makes Top 10

Julia Blog Posts

Upcoming Julia Events

Recent Julia Events

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, Barnes & Noble, BlackRock, Capital One,
Charles River Analytics, Citigroup, Comcast, Cooper Tire & Rubber,
Disney, Facebook, Gallup, Genentech, General Electric, Google, Huawei,
Johnson & Johnson, Match, McKinsey, NBCUniversal, Nielsen, OKCupid,
Oracle, Pandora, Peapod, Pfizer, Raytheon, Zillow, Brown, Emory,
Harvard, Johns Hopkins, Massachusetts General Hospital, Penn State, UC
Davis, University of Chicago, University of Virginia, Argonne National
Laboratory, Lawrence Berkeley National Laboratory, Los Alamos National
Laboratory, National Renewable Energy Laboratory, Oak Ridge 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 JuliaAcademy, JuliaTeam, or JuliaPro

  • 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 7
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. 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.