Tanmay Bakshi Teaches Julia for Kids and Beginners: Tanmay Teaches Julia for Kids and Beginners: A Springboard to Machine Learning is available for pre-order on Amazon and is scheduled for release on August 30. Tanmay Bakshi is a 15 year old artificial intelligence developer and instructor who began programming at age 5, started teaching coding and web development online at age 7, created his first app at age 9 and began programming with IBM Watson at age 11.
Julia Joins Upwork List of 20 Hottest Job Skills: Upwork, the world's largest marketplace for freelancers, reports that for the first time, Julia development is among the 20 hottest job skills for which companies are hiring. Julia's debut on the quarterly Upwork index reflects year-on-year growth in demand for Julia developers of more than 170%. This report has been covered by AP, Business Wire, CNBC, Inquirer, JAXenter, TechRepublic and Yahoo Finance .
UK Open Source Award: Yiannis Simillides of Imperial College and the Alan Turing Institute has been shortlisted for the UK Open Source Award for creating FEniCs.jl, the Julia version of a popular finite element package. This work was supported by Google Summer of Code (GSoC).
Alan Turing Institute Releases Machine Learning Toolbox Written in Julia: "The Alan Turing Institute has released a new machine learning toolbox, Machine Learning in Julia (MLJ), which provides a uniform interface enabling users to easily train, evaluate, and tune machine learning models," reports Synced.
Julia for Pharmacometrics: The Future of Modelling and Simulation in Pharmacometrics with Julia by Vijay Ivaturi, Chris Rackauckas and Viral Shah was published in the International Society of Pharmacometrics June newsletter.
NextJournal Launches Julia Season of Contributions (JSoC) Blog: NextJournal has launched the Julia Season of Contributions blog.
Julia Featured in Japan's Web+DB Press: The June 2019 edition of Japan's Web+DB Press features 30+ pages about Julia.
JuliaCon 2019: JuliaCon 2019 will be held July 22-26 at the University of Maryland, Baltimore.
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.
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.
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).
Julia and Julia Computing in the News
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Julia Meetup Groups: There are 35 Julia Meetup groups worldwide with 8,092 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.
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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.
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