JuliaCon 2018: Early Bird Pricing Ends June 15:
Click here to purchase your JuliaCon tickets by June 15, before prices increase. JuliaCon 2018 takes place Aug 7-11 at UCL in London, United Kingdom. You are encouraged to book your travel and lodging as soon as possible to take advantage of the best prices and availability. Corporate sponsorship opportunities are available.
Online Instructor-Led Training in Artificial Intelligence and Machine Learning:
Julia Computing provides online instructor-led training in artificial intelligence and machine learning. This month, the course is being taught by Alan Edelman, Professor of Applied Mathematics at MIT and Chief Scientist at Julia Computing. Each class is 8 hours of instruction: four hours per day for two consecutive days. Introduction to Machine Learning and Artificial Intelligence Part 1: Thursday June 28, 8 am - 12 noon US Eastern Time Part 2: Friday June 29, 8 am - 12 noon US Eastern Time Cost: US $300.00 Please click here to register. If you would like to schedule in person or online training for your organization, please contact us at [email protected] You can learn more about our training programs here.
JuliaBox Supports Parallel and Distributed Computing:
JuliaBox is available at scale with parallel and distributed computing capabilities. JuliaBox runs in the cloud on dozens, hundreds or thousands of nodes, depending on your requirements. As always, there is no download required with JuliaBox - you can run a Jupyter notebook straight from your browser. Full JuliaBox documentation including examples and reference information for parallel and distributed functionality is available here. For pricing and sign up, click here. The free version of JuliaBox continues to be fully supported and available for all current and new users with the latest version of Julia, package updates, new features and improved memory, flexibility and reliability.
Julia and Julia Computing in the Media
a. Julia Computing on DM Radio: Julia Computing CEO Viral Shah and Chief Scientist Alan Edelman joined DM Radio host Eric Kavanagh, Jupyter Conference Program Co-Chair Paco Nathan and NexJ Senior Director of Analytics and Data Science Martin Sykora to discuss “Julia, Python and R: The Rise of Jupyter Notebooks.” Click here to listen.
b. Julia on TV’s Hit Show ‘Billions’:Julia’s television career continues to flourish. This year, Julia appeared on the hit television show Billions. This follows Julia appearances on other television programs such as The 100 and Casual.
c. Julia Computing Week at Universidad Panamericana (En Español):Julia Computing’s Jane Herriman of Caltech and Lawrence Livermore National Laboratory led a week of data science and machine learning training in Julia for 60 students at Universidad Panamericana in Mexico City.
d. Jupyter Wins Software System Award:Jupyter, which is named for Julia, Python and R, has won the Association for Computing Machinery Software System Award. “Jupyter’s developers … collaborated … to be able to run Julia".
Recent Julia Videos
Automatic Differentiation in 10 Minutes with Julia with Alan Edelman (Julia Computing, MIT)
Intro to Julia with Jane Herriman (Julia Computing, Caltech, Lawrence Livermore National Laboratory)
Intro to Dynamical Systems in Julia with George Datseris (Max Planck Institute for Dynamics and Self-Organization)
How to Install Julia and Jupyter Notebooks with Jane Herriman (Julia Computing, Caltech, Lawrence Livermore National Laboratory)
Cassette: Dynamic Compiler Pass Injection with Jarrett Revels (MIT)
Shared Memory Parallelism in Julia with Kiran Pamnany (Intel)
Intro to Julia DataFrames with Bogumil Kaminski (Warsaw School of Economics)
Recent Julia Blog Posts
ANN: InteractBase, A Redesign of Interact to Create and Style Web Apps in Julia by Pietro Vertechi (Champalimaud Neuroscience)
Extensible Broadcast Fusion by Matt Bauman (Julia Computing)
These Are a Few of My Favourite Things (That Are Coming with Julia 1.0) by Lyndon White (University of Western Australia
Tackling the Cutting Stock Problem, Part 1: Problem Exploration by Mathieu Besançon (Polytechnique Montréal)
The Cutting Stock Problem, Part 2: Solving with Column Generation by Mathieu Besançon (Polytechnique Montréal
Optimizing Your Diet with JuMP by Lyndon White (University of Western Australia)
MicrostructureNoise.jl by Moritz Schauer (Leiden University)
String Types in Julia by Lyndon White (University of Western Australia) and Scott P. Jones (Gandalf Software)
Upcoming and Recent Julia Events and Meetup Groups
a. Upcoming Julia Events:
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
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
Toronto: Viral Shah and Ranjan Anantharaman (Julia Computing) Jul 23
London: JuliaCon 2018 at University College London Aug 7-11
b. Recent Julia Events
Hong Kong: SIAM Applied Linear Algebra Conference with [Julia Computing](http://(http://juliacomputing.com) May 4-8
Boston: Mulithreaded Scheduling with Kiran Pamnany and Cassette.jl with Jarrett Revels and Julia Computing at MIT Stata Center May 15
London: What Every Quant Should Know about Technical Computing with Julia Computing and the CQF Institute May 15
Oaxaca: Workshop in Statistical Methods on Distributed Computing with Julia Computing May 20-25
San Francisco: AIDevCon with Julia Computing May 23
Sydney: Julia for Rapid Prototyping of Realtime Audio Processing with Rowan Katekar and Julia (Julialang) Sydney May 24
Global: High Performance Machine Learning and Data Analysis with Julia with Alan Edelman (Julia Computing) and O’Reilly Media May 31
Cleveland: Leukemia Analysis in R, Pandas Tricks in Python and Introduction to Julia with Greater Cleveland Python/Julia/R Data Science Group Jun 5
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 Bogumil Kaminski (Warsaw School of Economics) and Warszawskie Forum Julia Jun 8
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 (527 members)
Barcelona: Barcelona Julia Meetup (90 members)
Berlin: Julia Users Group (129 members)
Boston: Cambridge Area Julia Users Network (CAJUN) (615 members)
Brasilia: Julia Lang BSB (50 members)
Campinas: Campinas Julia Language Meetup (82 members)
Chicago: Midwest Julia Users (475 members)
Cleveland: Greater Cleveland Python/Julia/R Data Science Group (447 members)
Copenhagen: JuliaCPH (106 members)
Delhi: Julia Delhi (32 members)
Detroit: SE-Michigan Julia Language Meetup (29 members)
Dublin: Dublin Julia Users Group (341 members)
Istanbul: JuliaStanbul (50 members)
León, México: León Julia Meetup (50 members)
London: London Julia User Group (546 members)
Los Angeles: Southern California Julia Users (132 members)
Luxembourg: BeNeLux Julia User Group (23 members)
Mexico City: JuliaLangEs - CDMX (402 members)
Montréal: Montréal Julia Programming Language Meetup (108 members)
New York: New York City Julia User Group (601 members)
Raleigh: Triangle Julia Users (146 members)
Rio de Janeiro: Rio de Janeiro Julia Meetup (50 members)
San Francisco: Bay Area Julia Users (634 members)
São Paulo: Julia Meetup São Paulo (84 members)
Singapore: Singapore Julia User Group (83 members)
Sydney: Julia (JuliaLang) Sydney (197 members)
Vancouver: Vancouver Julia Users (68 members)
Vienna: Vienna Julia Meetup (138 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.