Have you ever wondered:
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How Julia developers decide what constitutes a major release, a minor release or a patch release?
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How Julia developers think about an alpha release, a beta release and a release candidate?
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What kind of long term support exists for different versions of Julia?
Stefan Karpinski has published a blog post on JuliaLang.org to help answer these questions.
The newest Julia releases are:
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Julia v1.2.0: Current stable release
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Julia v1.0.4: Long-term support release
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Julia v1.3.0-rc1: Release candidate including multi-threaded parallelism
JuliaTeam and JuliaRun Available on Google Cloud Platform: Julia options on AWS, Azure and Google Cloud continue to expand. JuliaTeam is now available on AWS Marketplace and JuliaTeam and JuliaRun are available on Google Cloud Platform. Contact us for more information about JuliaTeam and JuliaRun.
How Computer Programming Is Changing Modern Life: The Society for Industrial and Applied Mathematics (SIAM) released a video featuring Julia co-creators Jeff Bezanson and Stefan Karpinski discussing how computer programming is changing modern life.
World Artificial Intelligence Conference (Shanghai): Viral Shah addressed the World Artificial Intelligence Conference, held in Shanghai Aug 29-31 with a discussion on "Julia: Generalizing Deep Learning with Differentiable Programming".
Designing to the Limits - Algorithms for Peak Performance: Tim Wheeler and Mykel Kochendorfer, authors of Algorithms for Optimization, participated in a Center for Automotive Research at Stanford (CARS) Open Garage Talk moderated by Sebastian Thrun, founder of Google's Self Driving Car Team. The talk is available on YouTube.
MIT Scientists Use Julia to Help Boston Public Schools Save $5 Million: MIT Operations Research Center scientists Dimitras Bertsimas, Sebastien Martin and Arthur Delarue used Julia to win first place in the 2017 Boston Public Schools Transportation Challenge. Their algorithm helped students sleep longer, reduced traffic and fuel emissions and saved Boston Public Schools $5 million.
JuliaSure: JuliaSure from Julia Computing provides enterprise Julia users with support and indemnity. Contact us for more information.
JuliaTeam: Julia Computing's JuliaTeam solution works behind your firewall, enables enterprise governance and collaboration, including management of public and private packages and versions, licenses, indemnity and more. Contact us for more information.
Upcoming Julia Computing Events
Julia Computing will be participating in a number of upcoming conferences. Please contact us if you would like to meet with us at any of these events.
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Cambridge, MA: MIT Technology Review EmTech with Viral Shah (Julia Computing) at MIT Media Lab Sept 17-19
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New York: Strata Data Conference with Viral Shah, Stefan Karpinski, Jon Shepherd and Jerry Amaral (Julia Computing) Sept 23-26
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Orlando: American Conference on Pharmacometrics (ACoP10) with Viral Shah, Jon Shepherd and Andreas Noack (Julia Computing) Oct 20-23
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London: Open Data Science Conference (ODSC) with Avik Sengupta (Julia Computing) Nov 19-22
Live Online Instructor-Led Julia Training
Sign up now for live instructor-led online courses taught by Julia Computing instructors. Each course is 4 hours per day for two days, for a total of 8 hours of instruction per course.
Course | Schedule | Cost for 8 hours of live online instruction from Julia Computing instructors |
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Introduction to Machine Learning and Artificial Intelligence Using Julia | Day 1: Wed Sept 11 from 11 am - 3 pm ET Day 2: Thurs Sept 12 from 11 am - 3 pm ET | $500 |
Parallel Computing in Julia | Day 1: Wed Sept 18 from 11 am - 3 pm ET Day 2: Thurs Sept 19 from 11 am - 3 pm ET | $500 |
Julia and Julia Computing in the News
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Towards Data Science: Freeing the Data Scientist Mind from the Curse of VectoRization: Julia to the Rescue!
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Data Science Central: Julia vs. R: Freeing the Data Scientist Mind from the Curse of VectoRization
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Times of India: Techies Are Coming Together to Program a Geekier Nation
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SD Times: Julia Programming Language Survey
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SD Times: Julia 1.2 Released
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DevClass: Julia 1.2 Gets Star for Special Interest Computations
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Route Fifty: How One City Saved $5 Million by Routing School Buses with an Algorithm
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CNBeta: TIOBE 8月排行:你说 Objective-C 将走向衰败 我不同意
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Techzine: Julia Wint Aan Populariteit Over Python
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Appinventiv: Introducing Julia – The Top Programming Language for Machine Learning Development
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Zylotech: What Is All this Buzz About the Julia Programming Language?
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JAXenter: Julia - The Programming Language of the Future?
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ZDNet: Julia Programming Language - Users Reveal What They Love and Hate the Most About It
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TechRepublic: Julia vs. Python - This Is Why the Fledgling Programming Language Is Winning New Fans
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InsideBigData: Composable Multi-Threaded Parallelism in Julia
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JAXenter: Julia v1.2.0: Technical Computing Gets Updated with New Library Functions
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PacktHub: Julia Co-Creator, Jeff Bezanson, On What's Wrong with Julialang and How to Tackle Issues Like Modularity and Extension
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PacktHub: Julia v1.2 Releases with Support for Argument Splatting, Unicode 12, New Star Unary Operator, and More
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PacktHub: The Julia Team Shares its Finalized Release Process with the Community
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News Medical: UMB Startup Releases Cutting-Edge Software Platform for Pharmaceutical Researchers
Julia Blog Posts
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Everyone's Favorite Blogpost: CSV Benchmarks (Jacob Quinn)
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GSoC'19: Duckietown.jl Summary (Tejan Karmali)
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The Essential Tools of Scientific Machine Learning (Chris Rackauckas)
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Automatic Differentiation with Dual Numbers (Alejandro Morales)
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Quinn's Quibbles: Column-First Indexing and Iterating Through Matrices in Julia (Andrew Quinn)
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DrWatson 1.0 - the Perfect Sidekick to Your Scientific Inquiries Is Out! (George Datseris)
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JSoC'19: TraceEstimation.jl (Akshay Jain)
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JSoC'19: Trace of Matrix Inverse (Akshay Jain)
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Bayesian Inference for AR(p) Models (Saumya Shah)
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Firefox Pourra Bientôt Exécuter du Code Julia (Thibaut Cuvelier)
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ARIMA Models with Turing.jl (Saumya Shah)
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B-Splines (Ole Kröger)
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Neuromorphic Computing - Hardware (Ole Kröger)
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Announcing OmniSci.jl: A Julia Client for OmniSci (Randy Zwitch)
Upcoming Julia Events
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Online: Introduction to Machine Learning and Artificial Intelligence in Julia with Julia Computing Sept 11-12
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Santa Clara: Building a High-Performance Earth System Model in Julia at Hacker Dojo Sept 16
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Sydney: Data Science & Analytics Using Python, R, Julia + More with PyData Sydney Sept 17
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Cambridge, MA: MIT Technology Review EmTech with Viral Shah (Julia Computing) at MIT Media Lab Sept 17-19
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Online: Parallel Computing in Julia with Julia Computing Sept 18-19
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Minneapolis: First Twin Cities Julia User Group Meetup! at Relational AI MSP Sept 20
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New York: Strata Data Conference Sept 23-26 with Viral Shah, Stefan Karpinski, Jon Shepherd and Jerry Amaral (Julia Computing)
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Sydney: Data Science & Analytics Using Python, R, Julia + More with PyData Sydney Oct 2
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Orlando: American Conference on Pharmacometrics (ACoP10) with Viral Shah and Andreas Noack (Julia Computing) Oct 20-23
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Sydney: Data Science & Analytics Using Python, R, Julia + More with PyData Sydney Nov 5
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London: Open Data Science Conference (ODSC) with Avik Sengupta (Julia Computing) Nov 19-22
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Sydney: Data Science & Analytics Using Python, R, Julia + More with PyData Sydney Dec 4
Recent Julia Events
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State College, PA: International Association for Mathematical Geosciences (IAMG) Annual Conference Featuring Geostatistics with GeoStats.jl Aug 10-16
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Dublin: Joint Discussion of Linux, Julia, and LISP with Dublin Julia Users Group Aug 20
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Cambridge, UK: The Emergent Features of JuliaLang with Lyndon White Aug 28
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Shanghai: World Artificial Intelligence Conference (WAIC) with Viral Shah (Julia Computing) Aug 29-31
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Online: Introduction to Julia with Julia Computing Sept 4-5
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Boulder: Julia Meetup at Galvanize Boulder Sept 5
Julia Meetup Groups: There are 37 Julia Meetup groups worldwide with 8,415 members. If there's a Julia Meetup group in your area, we hope you will consider joining, participating and helping to organize events. If there isn't, we hope you will consider starting one.
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Barcelona: Barcelona Julia Meetup (113 members)
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Berlin: Julia Users Group (129 members)
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Boston: Cambridge Area Julia Users Network (CAJUN) (884 members)
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Bratislava: Julia Users Group Slovakia (7 members)
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Bucharest: Bucharest Julia Users Group (33 members)
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Budapest: Budapest Julia User Group (131 members)
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Campinas: Campinas Julia Language Meetup (106 members)
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Chicago: Midwest Julia Users (128 members)
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Cleveland: Greater Cleveland Python/Julia/R Data Science Group (568 members)
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Copenhagen: JuliaCPH (111 members)
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Detroit: SE-Michigan Julia Language Meetup (80 members)
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Dublin: Dublin Julia Users Group (376 members)
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Freiburg: Julia User Group Freiburg (11 members)
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León, México: León Julia Meetup (50 members)
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Lima: Julia Data Science Lima (126 members)
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London: All England Julia User Group (800 members)
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Los Angeles: Southern California Julia Users (174 members)
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Luxembourg: BeNeLux Julia User Group (91 members)
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Mexico City: JuliaLangEs - CDMX (430 members)
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Minneapolis: Twin Cities Julia User Group (44 members)
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New York: New York City Julia User Group (713 members)
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Orlando: Julia Lang Enthusiasts at Winter Park (8 members)
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Portland: Portland Julia Users (54 members)
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Prague: Prague Julia Programming Group (133 members)
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Raleigh: Triangle Julia Users (142 members)
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Rio de Janeiro: Rio de Janeiro Julia Meetup (59 members)
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Rosario, Argentina: Julia Rosario (50 members)
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San Francisco: Bay Area Julia Users (757 members)
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São Paulo: Julia Meetup São Paulo (112 members)
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Seoul: Korea Julia User Group (15 members)
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Singapore: Singapore Julia User Group (98 members)
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Sydney: Julia (JuliaLang) Sydney (350 members)
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Tokyo: JuliaTokyo (685 members)
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Vienna: Vienna Julia Meetup (172 members)
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Warsaw: Warszawskie Forum Julia (485 members)
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Washington: Washington DC Greater Metro Area Julia Language Group (51 members)
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Zurich: Zurich Julia Users Group (139 members)
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, Mathematica, 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:
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Purchase or obtain license information for Julia products such as JuliaAcademy, JuliaTeam, or JuliaPro
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Obtain pricing for Julia consulting projects for your organization
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Schedule Julia training for your organization
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Share information about exciting new Julia case studies or use cases
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Spread the word about an upcoming conference, workshop, training, hackathon, meetup, talk or presentation involving Julia
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Partner with Julia Computing to organize a Julia meetup, conference, workshop, training, hackathon, talk or presentation involving Julia
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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 9 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.