We hope you had a wonderful holiday season, and we wish you a productive and prosperous 2018!
The number of news articles mentioning Julia or Julia Computing increased dramatically in 2016 and in 2017.
Alan Edelman, co-founder of Julia Computing and MIT Professor of Applied Mathematics participated in a broadcast radio show and podcast called DM Radio, hosted by Eric Kavanagh. Click here to listen to the show.
JuliaRun facilitates running distributed computing jobs in Julia across a cluster of computers. Try it out using our hosted service at https://www.juliabox.com. Free tier users have access to a 3 CPU cluster that allows you to run one master and two child processes. Please write to us at [email protected] if you require a larger allocation for a temporary trial. More information can be found by logging into JuliaBox to access JuliaBox documentation and the JuliaBox tutorial.
JuliaCon 2018 has corporate sponsorship opportunities available. JuliaCon 2018 will be held Aug 7-11, 2018 at University College London.
Alan Edelman, co-founder of Julia Computing and MIT Professor of Applied Mathematics, was selected by the Institute for Electrical and Electronics Engineers (IEEE) for his “extraordinary accomplishments” and “contributions to the development of technical computing languages, namely the Julia language for numerical and scientific computing.”
The University of Cape Town has created a four module introductory Julia course. Julia Scientific Programming is taught by Dr. Juan Klopper, Department of Surgery, and Dr. Henri Laurie, Department of Mathematics and Applied Mathematics.
Jane Herriman, Julia Computing’s Director of Diversity and Outreach, hosted a free online introductory Julia tutorial on YouTube on December 19, to be repeated monthly. Julia Computing will also be hosting tutorials with deeper dives into Julia. You can subscribe to our YouTube channel by clicking here. If you are an author or experienced user of a Julia package and would like to help run a tutorial on that package, please let us know. We would love to partner with you and support you in creating teaching materials and in running the event.
Do you know of any upcoming conferences, meetups, trainings, hackathons, talks, presentations or workshops involving Julia? Would you like to organize a Julia event on your own, or in partnership with your company, university or other organization? Let us help you spread the word and support your event by sending us an email with details. Here are some upcoming events:
Do you want to share photos, videos or details of your most recent conference, meetup, training, hackathon, talk, presentation or workshop involving Julia? Please send us an email with details and links.
Do you work at or know of an institution 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 200 Julia jobs currently listed on Indeed.com, including jobs at Google, Facebook, IBM, KPMG, Ernst & Young, Booz Allen Hamilton, Comcast, Zulily, National Renewable Energy Research Laboratory, Los Alamos National Laboratory, Brown, Princeton, Columbia, Notre Dame, MIT, University of Chicago and many more.
Please contact us if you wish to:
Julia is the fastest high performance open source computing language for data, analytics, algorithmic trading, machine learning, artificial intelligence, and many other domains. 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. For example, Julia has run at petascale on 650,000 cores with 1.3 million threads to analyze over 56 terabytes of data using Cori, the world’s sixth-largest supercomputer. With more than 1.8 million downloads and +101% annual growth, Julia is one of the top programming languages developed on GitHub. Julia adoption is growing rapidly in finance, insurance, machine learning, energy, robotics, genomics, aerospace, medicine and many other fields.
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. Julia Computing offers the following products:
To learn more about how Julia users deploy these products to solve problems using Julia, please visit the Case Studies section on the Julia Computing Website.
Julia users, partners and employers hiring Julia programmers in 2018 include Amazon, Apple, BlackRock, Booz Allen Hamilton, Capital One, Comcast, Disney, Ernst & Young, Facebook, Ford, Google, IBM, Intel, KPMG, Microsoft, NASA, Oracle, PwC, Uber, and many more.
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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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