Julia Computing at the American Conference on Pharmacometrics: Please visit Julia Computing's booth at the American Conference on Pharmacometrics (ACoP) Oct 20-23 in Orlando. Julia Computing will present PumasAI/Pumas.jl which leverages the power of Julia for pharmaceutical modeling and simulation.
Julia Day in New York: Julia Computing is hosting Julia Day in New York at Google's New York headquarters on October 7 from 6-8 pm. Julia co-creators and Julia Computing co-founders Viral Shah and Stefan Karpinski and Julia Computing VP of Sales Jon Shepherd will join Julia enterprise users from Conning and State Street / BestX who will present case studies of Julia enterprise deployment in finance. Register here.
Other 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.
JuliaCon 2020: JuliaCon 2020 will take place July 27-31 at ISCTE - Instituto Universitário de Lisboa (ISCTE-IUL) in Lisbon, Portugal. Stay tuned for more details.
Julia Enterprise Users: Enterprise use of Julia continues to grow. Please contact us for more information about Julia Computing enterprise solutions including JuliaSure, JuliaTeam and JuliaRun. A few examples of Julia enterprise users include:
Julia Computing at New York's Strata Data Conference: Julia Computing participated in the Strata Data Conference Sept 23-26. Jerry Amaral, Julia Computing Director of US Sales, is pictured below.
New Julia Tool for Genomic Data Visualization Published in Nature: Nature published an article titled VIVA (VIsualization of VAriants): A VCF File Visualization Tool about a new Julia tool for visualizing genomic data:
"VIVA employs the Julia programming language, a high-level, high-performance, dynamic programming language for numerical computing. VIVA is among the first user-level tools of its kind written in the Julia programming language. Additionally, it can be integrated into workflows with other tools hosted by BioJulia, the Julia language community for biologists and bioinformaticians."
Julia Computing Researches TIOBE Language Ranking: Julia Computing published a blog post titled "Thoughts on TIOBE's Language Ranking Methodology", in which we also discuss alternative metrics from PYPL, GitHub, RedMonk and IEEE Spectrum. As of Sept 2019, Julia is ranked #8 in GitHub stars and forks (among languages developed on GitHub), #22 on PYPL, #23 on IEEE Spectrum, #33 on RedMonk and #36 according to the TIOBE index.
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|
|Introduction to Julia||Day 1: Wed Nov 13 from 11 am - 3 pm ET Day 2: Thurs Nov 14 from 11 am - 3 pm ET||$250|
|Introduction to Machine Learning and Artificial Intelligence Using Julia||Day 1: Wed Nov 20 from 11 am - 3 pm ET Day 2: Thurs Nov 21 from 11 am - 3 pm ET||$500|
|Parallel Computing in Julia||Day 1: Tues Nov 26 from 11 am - 3 pm ETDay 2: Wed Nov 27 from 11 am - 3 pm ET||$500|
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.
Free Version of JuliaBox Is Ending - Pricing for Paid JuliaBox Starts at Just $7 per Month for Academic Users: In January, we notified the Julia community that Julia's growth was making free JuliaBox unsustainable, and that we would sunset the free version of JuliaBox. As a result, the free version of JuliaBox will end on Oct 31, 2019. We are grateful to all JuliaBox users - especially our paid users. We encourage you to do the following before Oct 31, 2019:
Julia and Julia Computing in the News
Julia Blog Posts
Upcoming Julia Events
Recent Julia Events
Julia Meetup Groups: There are 37 Julia Meetup groups worldwide with 8,531 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.
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:
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 10 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.