Julia Co-Creators Receive James H. Wilkinson Prize: Julia co-creators Jeff Bezanson, Stefan Karpinski and Viral Shah Received the James H. Wilkinson Prize for Numerical Software at the Society for Industrial and Applied Mathematics (SIAM) Conference on Computational Science and Engineering (CSE19). Jeff, Stefan and Viral delivered a talk titled ‘Solving the Two Language Problem in Numerical Computing’.
JuliaTeam Vision: Stefan Karpinski published a blog post about Julia Computing’s vision for JuliaTeam. JuliaTeam is an enterprise solution that makes it as easy to use and develop Julia packages inside your company as it is in the open source world. JuliaTeam integrates with your corporate authentication systems and eliminates the headaches of installing and using public Julia packages behind a corporate firewall. JuliaTeam also gives IT and management insight and control over what packages developers are using, helping ensure quality and security.
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
JuliaTeam makes Julia development at your company as easy, effective and fun as open source.
For more information, contact us.
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 is a new blog post from Julia Computing’s Josh Day describing some of these features.
The Julia Project and Its Entities: Stefan Karpinski published a blog post about Julia and some of the entities that support Julia.
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:
Introduction to Machine Learning and Artificial Intelligence in Julia
Introduction to Julia
Introduction to Machine Learning and Artificial Intelligence in Julia
Growing a Compiler - Getting to Machine Learning from a General Purpose Compiler: Julia Computing’s Keno Fischer and Jameson Nash presented “Growing a Compiler - Getting to Machine Learning from a General Purpose Compiler” at the Compilers for Machine Learning (C4ML) workshop at the International Symposium on Code Generation and Optimization (CGO 2019) and published a blog post on the same topic.
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.
JuMP-dev Annual Workshop: The third annual JuMP-dev workshop takes place March 12-14 in Santiago, Chile.
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
TechRepublic: Julia’s Big Plan to Break into Enterprise: What’s Next for the Fast-Growing Programming Language
JaxEnter: Julia Takes the Stage while PHP Continues its Five-Year Slump
YourStory: Eye on Success: AI and Business Impact through Collaborative Ecosystems for Startups
PacktPub: Creating a Basic Julia Project for Loading and Saving Data [Tutorial]
PackPub: How to Make Machine Learning Based Recommendations Using Julia [Tutorial]
Analytics India: Top 5 Online Resources To Learn Jupyter Notebook
Heise: JuliaTeam verspricht Unternehmen mehr Kontrolle beim Programmieren mit Julia
ZDNet Japan: プログラミング言語の「Julia」、1年の成長を示す数字が明らかに
The Register: Website Programming? Pffft, So 2011. Python’s Main Squeeze Is now Data Science, Apparently
ZDNet: The Rise of Julia, Brexit Woes, Tech Investment, and Digital Transformation
Technotification: 5 Best Easy-To-Learn New Programming Languages
Julia Blog Posts
JuliaTeam Vision (Stefan Karpinski)
JuliaDB in Julia 1.0 (Josh Day)
Growing a Compiler - Getting to Machine Learning from a General Purpose Compiler (Keno Fischer and Jameson Nash)
The Julia Project and Its Entities (Stefan Karpinski)
Multiple Dispatch - an Example for Mathematical Optimizers (Mathieu Besançon)
Julia Do-Block vs Python With Statement (Mosè Giordano)
Announcing Electron Display.jl (David Anthoff)
Upcoming Julia Events
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
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
Brussels: Low Level Virtual Machine (LLVM) Developers Meeting with Jameson Nash (Julia Computing) April 8-9
Boston: Open Data Science Conference (ODSC) April 30-May 3
London: European Conference on Object-Oriented Programming (ECOOP) Curry On July 15-19
Baltimore: JuliaCon 2019 July 22-26
Recent Julia Events
Online: Introduction to Machine Learning and Artificial Intelligence in Julia with Julia Computing Feb 4-5
Ghent: Intro to Julia with TensorFlow Belgium Feb 6
Online: Live YouTube Tutorial on DynamicalSystems.jl with George Datseris Feb 13
Washington DC: Getting to Machine Learning from a General Purpose Compiler at the International Symposium on Code Generation and Optimization (CGO 2019) Compilers for Machine Learning Workshop (C4ML) with Keno Fischer and Jameson Nash (Julia Computing) Feb 17
Spokane: Society for Industrial and Applied Mathematics (SIAM) Conference on Computational Science and Engineering (CSE19) with Jeff Bezanson, Stefan Karpinski and Viral Shah (Julia Computing) Feb 25-Mar 1
Online: Introduction to Machine Learning and Artificial Intelligence in Julia with Julia Computing Feb 25-26
Julia Jobs, Fellowships and Internships
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, JuliaPro or JuliaBox
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 3 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.