Julia Training - Intro to Julia, Artificial Intelligence and Machine Learning:
a. Live Online Instructor-Led Julia Training: Click here to register for Julia Computing’s live instructor-led online training. Each 8-hour course is 4 hours per day (8 am-noon US Eastern) conducted over two days by Julia Computing staff. The July 18-19 course is available at an introductory discounted price of $150, and is taught by Alan Edelman, Chief Scientist at Julia Computing and MIT Professor of Applied Mathematics.
-Intro to Julia: Register now for live online instruction on Jul 18-19, Aug 13-14, Sep 17-18 or Nov 5-6
-Artificial Intelligence and Machine Learning in Julia: Register now for live online instruction on Aug 30-31, Sep 24-25 or Nov 12-13
b. Customized Julia Training from Julia Computing: Julia Computing provides custom in-person and online training for you and your organization including courses such as Intro to Julia, Intermediate and Advanced Julia, Artificial Intelligence and Machine Learning in Julia, Optimization in Julia and more. Please contact us for pricing, scheduling or more information.
JuliaCon 2018 at University College London Aug 7-11:
We look forward to meeting everyone at JuliaCon Aug 7-11 at University College London. JuliaCon has a record number of sponsors this year, including Alfred P. Sloan Foundation, Microsoft, Maven, Invenia, Julia Computing, Capital One, Gordon & Betty Moore Foundation, Gambit Research, Tangent Works, Amazon, Alan Turing Institute, Jeffrey Sarnoff, EVN and Conning. Keynote speakers this year include Nick Higam (University of Manchester), Sophie Wilson (Broadcom, co-developer of the ARM processor), Tim Thornham (Aviva) and Gilbert Strang (MIT).
Julia Community Prizes - Nomination Deadline July 13:
The Julia community will award three Julia Community Prizes for outstanding contributions to the Julia ecosystem. Nominations must be submitted by July 13. Winners will be announced at JuliaCon 2018. Winners will be awarded USD $1,000 and will receive a certificate. More information is available here.
Advances in Engineering Software - Julia Special Issue:
Advances in Engineering Software is producing a Julia special issue, now open for submission. The submission deadline is October 15, 2018.
Julia and Julia Computing in the Media:
InfoWorld - What Is Julia? A Fresh Approach to Numerical Computing: “Julia combines the ease of a dynamic language with the speed of a compiled language”
TechCrunch - Open Source Sustainability: “Julia Computing [is] focused on the Julia language”
Times of India - Techies Get Top Dollar for Niche Lingo of India - Techies Get Top Dollar for Niche Lingo: “Viral Shah [is] CEO of Julia Computing and co-creator of the Julia programming language”): “Viral Shah [is] CEO of Julia Computing and co-creator of the Julia programming language”
TechNotification - 3 Best Programming Languages for Data Mining / Analytics: “[Julia] has been widely adopted by the data mining industry because …. 1) Julia is an expressive language; 2) Julia is fast; 3) Julia is high level”
Recent Julia Videos:
Rust, Julia and Go: Disruptive New Programming Languages Changing the Face of Computing with Rod Davison (ProTech Training)
Introduction to Queryverse.jl with David Anthoff (UC Berkeley)
Julia for Robotics: RigidBodyDynamics.jl and Related Tools with Twan Koolen (MIT) and Robin Deits (MIT)
The Julia Language and C++: The Perfect Marriage? with Keno Fischer (Julia Computing) and Bart Janssens (Royal Military Academy, Belgium)
Recent Julia Blog Posts:
Julia: Data Wrangling Using JuliaDB.jl and JuliaDBMeta.jl by Al-Ahmadgaid Asaad (NeuralMechanics)
Writing Iterators in Julia 0.7 by Eric Davies (Invenia)
Introduction to Queryverse.jl by David Anthoff (UC Berkeley)
Making Dotted Graph Paper in Julia with Luxor.jl by Tamás K. Papp (Institute for Advanced Studies, Vienna)
First Class Statistical Missing Values Support in Julia v0.7 by Milan Bouchet-Valat (Institut National D’Études Démographiques)
Translating PyTorch Models to Flux.jl Part 1: RNN by Phil Tomson
Translating PyTorch Models to Flux.jl Part 2: Running on GPU by Phil Tomson
Hugo and Julia by Sebastian Pfitzner (Institut für Physik Humboldt-Universität zu Berlin)
Updated Linter UI by Sebastian Pfitzner (Institut für Physik Humboldt-Universität zu Berlin)
First “Approximate” Month by Yiannis Simillides (University College London)
Upcoming and Recent Julia Events and Meetup Groups
a. Upcoming Julia Events:
Mumbai: Artificial Intelligence and Machine Learning in Julia with Abhijith Chandraprabhu (Julia Computing) at IMS Jul 20-22
Toronto: North American Conference for Conservation Biology with Viral Shah and Ranjan Anantharaman (Julia Computing) Jul 21-26
Bangalore: Computational Artificial Intelligence in Julia with Abhijith Chandraprabhu (Julia Computing) at Sir Mokshagundum Visvesvaraya Institute of Technology Jul 25-27
Cleveland: Let’s Challenge Kaggle’s Santander Value Prediction Competition Jul 28
London: JuliaCon 2018 at University College London Aug 7-11
Bangalore: Open Data Science Conference (ODSC) Aug 30-Sept 2
Online: Artificial Intelligence and Machine Learning in Julia Live Instructor-Led Online Training with Julia Computing Aug 30-31
Online: Artificial Intelligence and Machine Learning in Julia Live Instructor-Led Online Training with Julia Computing Sep 24-25
Online: Artificial Intelligence and Machine Learning in Julia Live Instructor-Led Online Training with Julia Computing Nov 12-13
b. Recent Julia Events
Zurich: Failure Analysis with the Weibull Distribution with Stefan Schelm Jun 7
Warsaw: Testy A/B: Od Teorii do Praktyki at Data Science Summit with Bogumi? Kaminski (Warsaw School of Economics) and Warszawskie Forum Julia Jun 8
Global: Intro to Julia with Jane Herriman (Julia Computing) Jun 8
Bangalore: Practical Statistical Machine Learning and Data Science with Julia with David Sanders (UNAM) and Julia Computing at MSRIT Jun 11-15
Bangalore: Artificial Intelligence and Machine Learning in Julia with Julia Computing at Infosys Jun 12-14
Global: Intro to the Queryverse, a Julia Data Science Stack Jun 14
Vienna: Scala, Go-Lang, Julia, Python – Which Should One Use and Why? Jun 14
Bangalore: Artificial Intelligence and Machine Learning in Julia with Julia Computing at IMS Jun 22-24
Bordeaux: JuMP-dev Workshop at Institut de Mathématiques de Bordeaux, University of Bordeaux Jun 27-29
Paris: An Introduction to Machine Learning and High Performance with Julia at Computer Science Summer School 2018 with Alan Edelman, Jane Herriman and Andreas Noack (Julia Computing) at Université Pierre-et-Marie Curie, Jul 2-6
There are 34 Julia Meetup groups worldwide with more than 6.8 thousand 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.
Bangalore: Bangalore Julia User Group (564 members)
Barcelona: Barcelona Julia Meetup (90 members)
Berlin: Julia Users Group (129 members)
Boston: Cambridge Area Julia Users Network (CAJUN) (636 members)
Brasilia: Julia Lang BSB (62 members)
Campinas: Campinas Julia Language Meetup (84 members)
Chicago: Midwest Julia Users (112 members)
Cleveland: Greater Cleveland Python/Julia/R Data Science Group (480 members)
Copenhagen: JuliaCPH (107 members)
Delhi: Julia Delhi (32 members)
Detroit: SE-Michigan Julia Language Meetup (29 members)
Dublin: Dublin Julia Users Group (339 members)
Istanbul: JuliaStanbul (50 members)
León, México: León Julia Meetup (50 members)
London: London Julia User Group (559 members)
Los Angeles: Southern California Julia Users (133 members)
Luxembourg: BeNeLux Julia User Group (24 members)
Mexico City: JuliaLangEs - CDMX (401 members)
Montréal: Montréal Julia Programming Language Meetup (175 members)
New York: New York City Julia User Group (601 members)
Raleigh: Triangle Julia Users (145 members)
Rio de Janeiro: Rio de Janeiro Julia Meetup (50 members)
San Francisco: Bay Area Julia Users (638 members)
São Paulo: Julia Meetup São Paulo (86 members)
Singapore: Singapore Julia User Group (84 members)
Sydney: Julia (JuliaLang) Sydney (210 members)
Vancouver: Vancouver Julia Users (69 members)
Vienna: Vienna Julia Meetup (138 members)
Zurich: Zurich Julia Users Group (85 members)
Warsaw: Warszawskie Forum Julia (296 members)
Julia Jobs and Internships
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.
Penn State University’s Department of Astronomy and Astrophysics Center for Exoplanets and Habitable Worlds (CEHW) is looking to hire a Postdoc Researcher and Assistant Research Professor with Julia experience.
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.
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.