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
The new Julia debugger incorporates
and CodeTracking into a
fully featured debugger, interpreter and integrated development
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
Facebook’s Chief Artificial Intelligence Scientist, and Facebook’s
join the Google Brain artificial intelligence team in recognizing Julia’s advantages for deep learning.
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
(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
visit the Circuitscape Website, read the
the Julia Computing Website, watch Ranjan Anantharaman’s presentation
on Circuitscape at
JuliaCon 2018, or visit the Nature Conservancy’s Migrations in Motion
Julia Climbs in RedMonk Ranking: Julia
from #36 to #34 in RedMonk’s ranking of programming languages for Q1
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
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.
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
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
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.
Self-directed training - all online, learn at your own pace
Instructor-led online training - live two-day courses taught by Julia Computing instructors
In-person training - contact us at [email protected] 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
Geostatistics with GeoStats.jl: The International Association for
annual conference Aug 10-16 in State College, PA will feature a short
course on Geostatistics with
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: 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
Julia Debugger Has Been Released
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
Want to Learn the Fastest-Growing Programming Languages of 2019?
Check Out these Two Unstoppable Newcomers
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
Julia Blog Posts
A Julia Interpreter and Debugger (Tim Holy, Kristoffer Carlsson, Sebastian Pfitzner and Keno Fischer)
Moving from Julia 0.6 to 1.1 (Sören Dobberschütz)
Hang Your Code on the Wall (Ole Kröger)
Using Julia for Data Science - Part 03: Plotting (Cleyton Farias)
Multiplicative Persistence with Julia (Ole Kröger)
π Day (Cormullion)
Juniper Workflow (Ole Kröger)
Static Lists in Julia (Mathieu Besançon)
Upcoming Julia Events
Poznań: Wprowadzenie do Programowania w Języku Julia with Bogumił Kamiński and Warszawskie Forum Julia at Uniwersytet Ekonomiczny w Poznaniu April 5
Brussels: Low Level Virtual Machine (LLVM) Developers Meeting with Jameson Nash (Julia Computing) April 8-9
Cardiff: Is Machine Learning the “Killer App” for Julia? with Malcolm Sherrington and PyData Cardiff Meetup at Tramshed Tech April 11
Boston: Open Data Science Conference (ODSC) April 30-May 3
Hong Kong: RISE Conference with Viral Shah (Julia Computing) July 8-11
London: European Conference on Object-Oriented Programming (ECOOP) Curry On July 15-19
Baltimore: JuliaCon 2019 July 22-26
State College, PA: International Association for Mathematical Geosciences (IAMG) annual conference featuring Geostatistics with GeoStats.jl Aug 10-16
Recent Julia Events
Cambridge, MA: DiffEqBiological and DiffEqJump with Dr. Samuel Isaacson and Cambridge Area Julia User Network (CAJUN) March 7
Santiago: Third Annual JuMP-dev Workshop March 12-14
Washington DC: American Society for Clinical Pharmacology and Therapeutics (ASCPT) Annual Meeting with Viral Shah (Julia Computing) March 13-16
Palo Alto: Algorithms for Optimization in Julia with Tim Wheeler and NumFOCUS with Jane Herriman at BNY Mellon Innovation Center March 13
Warsaw: Distributed Computing and Spatial Data Analysis in Julia with Przemysław Szufel, Bogumił Kamiński and Warszawskie Forum Julia March 14
Cambridge, MA: Julia Programming - Humans Compose When Software Does with Alan Edelman (Julia Computing) March 28
Julia Jobs, Fellowships and Internships
Invenia Labs is hiring Julia developers for their Cambridge, UK and Winnipeg, Canada offices
Penn State University’s Department of Astronomy and Astrophysics Center for Exoplanets and Habitable Worlds (CEHW) is looking to hire a Postdoc Researcher and Assistant Research Professor with Julia experience
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
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.
Need help with Julia?
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and build open source or proprietary packages
for our customers on a consulting basis. Email us:
Julia Computing's mission is to create and deliver products that make Julia easy to use, easy to deploy and easy to scale. We operate out of Boston, London and Bangalore, and we serve customers worldwide.
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