We hope you had a wonderful holiday season, and we wish you a productive and prosperous 2018!
Julia 2017 Growth Statistics
Number of News Mentions of Julia or Julia Computing
Julia Computing on DM Radio
Distributed Computing Available on JuliaBox
JuliaCon 2018 Call for Corporate Sponsors
Julia Computing Co-Founder Alan Edelman Selected 2018 IEEE Fellow
Julia on Coursera
Julia Blog Posts
Julia and Julia Computing in the News
Upcoming Events Featuring Julia
Recent Events Featuring Julia
Julia Jobs and Internships
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 firstname.lastname@example.org 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.
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.
Economic Times: Soon, AI Could be Doing Your Appraisals
VentureBeat: What IBM Looks for in a Data Scientist
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:
Warsaw: Warszawskie Forum Julia Jan 10
YouTube (Global): Intro to Julia Tutorial Jan 18 @ 8 pm PST (Check Timezone for Your Local Time)
San Francisco: **[Solving Project Euler Problems in Julia](
https://www.meetup.com/Bay-Area-Julia-Users/events/246458995/?_cookie-check=AMFn19v2ee49aYc8)** (Date, Time and Location TBD)
Lorient, France: ROADEF 2018 Julia, JuMP for Operations Research Feb 21-23
San Francisco: Intro to Julia for Data Analytics at USF Mar 23
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.
Berlin: Introduction to GPU Programming Using Julia Dec 5
YouTube (Global): Learn Julia Tutorial Dec 19
Montreal: Julia Meetup Dec 20
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:
Purchase or obtain license information for Julia products such as JuliaPro, JuliaPro Enterprise, JuliaRun, JuliaDB, JuliaFin 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 or job posting
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:
JuliaPro for data science professionals and researchers to install and run Julia with more than one hundred carefully curated popular Julia packages on a laptop or desktop computer.
JuliaRun for deploying Julia at scale on dozens, hundreds or thousands of nodes in the public or private cloud, including AWS and Microsoft Azure.
JuliaFin for financial modeling, algorithmic trading and risk analysis including Bloomberg and Excel integration, Miletus for designing and executing trading strategies and advanced time-series analytics.
JuliaDB for in-database in-memory analytics and advanced time-series analysis.
JuliaBox for students or new Julia users to experience Julia in a Jupyter notebook right from a Web browser with no download or installation required.
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.