Julia Computing at the American Conference on Pharmacometrics: Please visit Julia Computing's booth at the American Conference on Pharmacometrics (ACoP) Oct 20-23 in Orlando. Julia Computing will present PumasAI/Pumas.jl which leverages the power of Julia for pharmaceutical modeling and simulation.
Julia Day in New York: Julia Computing is hosting Julia Day in New York at Google's New York headquarters on October 7 from 6-8 pm. Julia co-creators and Julia Computing co-founders Viral Shah and Stefan Karpinski and Julia Computing VP of Sales Jon Shepherd will join Julia enterprise users from Conning and State Street / BestX who will present case studies of Julia enterprise deployment in finance. Register here.
Agenda
Other Upcoming Julia Computing Events
Julia Computing will be participating in a number of upcoming conferences. Please contact us if you would like to meet with us at any of these events.
Athens: Association for Computing Machinery (ACM) Special Interest Group on Programming Languages (SIGPLAN) Conference on Systems, Programming Languages and Applications: Software for Humanity (SPLASH) with Alan Edelman, Stefan Karpinski and Jeff Bezanson (Julia Computing) Oct 20-25
San Jose: LLVM Developers Meeting with Jameson Nash (Julia Computing) Oct 22-23
Denver: SC19 with Alan Edelman (Julia Computing) Nov 17-22
London: Open Data Science Conference (ODSC) with Avik Sengupta (Julia Computing) Nov 19-22
Montreal: Node + JS Interactive with Jameson Nash (Julia Computing) Dec 11-12
JuliaCon 2020: JuliaCon 2020 will take place July 27-31 at ISCTE - Instituto Universitário de Lisboa (ISCTE-IUL) in Lisbon, Portugal. Stay tuned for more details.
Julia Computing at New York's Strata Data Conference: Julia Computing participated in the Strata Data Conference Sept 23-26. Jerry Amaral, Julia Computing Director of US Sales, is pictured below.
New Julia Tool for Genomic Data Visualization Published in Nature: Nature published an article titled VIVA (VIsualization of VAriants): A VCF File Visualization Tool about a new Julia tool for visualizing genomic data:
"VIVA employs the Julia programming language, a high-level, high-performance, dynamic programming language for numerical computing. VIVA is among the first user-level tools of its kind written in the Julia programming language. Additionally, it can be integrated into workflows with other tools hosted by BioJulia, the Julia language community for biologists and bioinformaticians."
Julia Computing Researches TIOBE Language Ranking: Julia Computing published a blog post titled "Thoughts on TIOBE's Language Ranking Methodology", in which we also discuss alternative metrics from PYPL, GitHub, RedMonk and IEEE Spectrum. As of Sept 2019, Julia is ranked #8 in GitHub stars and forks (among languages developed on GitHub), #22 on PYPL, #23 on IEEE Spectrum, #33 on RedMonk and #36 according to the TIOBE index.
Live Online Instructor-Led Julia Training
Sign up now for live instructor-led online courses taught by Julia Computing instructors. Each course is 4 hours per day for two days, for a total of 8 hours of instruction per course.
Course | Schedule | Cost for 8 hours of live online instruction from Julia Computing instructors |
---|---|---|
Introduction to Julia | Day 1: Wed Nov 13 from 11 am - 3 pm ET Day 2: Thurs Nov 14 from 11 am - 3 pm ET | $250 |
Introduction to Machine Learning and Artificial Intelligence Using Julia | Day 1: Wed Nov 20 from 11 am - 3 pm ET Day 2: Thurs Nov 21 from 11 am - 3 pm ET | $500 |
Parallel Computing in Julia | Day 1: Tues Nov 26 from 11 am - 3 pm ETDay 2: Wed Nov 27 from 11 am - 3 pm ET | $500 |
JuliaSure: JuliaSure from Julia Computing provides enterprise Julia users with support and indemnity. Contact us for more information.
If you want to continue using JuliaBox, please sign up for the paid version before October 31st, 2019. For academic users, the cost starts at just $7 per month.
If you do not want to continue using JuliaBox, please download and save your code and datasets no later than October 31st, 2019. Your data and your code may no longer be available after October 31st, 2019.
If you think your organization, academic department or university should purchase JuliaBox, please contact the decision-maker at your organization, academic department or university, and explain to that person how and why JuliaBox is important to your work. Pricing information is available online, including the 50% academic discount. For other questions about purchasing a paid subscription to JuliaBox, including setting up a new account for your organization and invoicing, please contact us.
Julia and Julia Computing in the News
ZDNet: Julia Programming Language - Users Reveal What They Love and Hate the Most About It
PacktHub: Developers from the Swift for TensorFlow Project Propose Adding First-Class Differentiable Programming to Swift
PharmaBiz: Pumas-AI Introduces Healthcare Software Based on Julia Programming Language for Researchers & Clinicians
Nature: VIVA (VIsualization of VAriants): A VCF File Visualization Tool
SelfGrowth: Top Data Science Tools Employers Expect You to Know
InfoQ: Advanced Data Visualizations in Jupyter Notebooks
Julia Blog Posts
Construction Speed in Popular Open Source Math Modeling Tools (Shuai Wang)
Continuous Delivery For Julia Packages (Lyndon White)
Evolutionary Strategy Meal Planning (Jacob Windle)
How to Build a Deep Neural Network from Scratch with Julia (Xabier Garcia Andrade)
Thoughts on TIOBE's Language Ranking Methodology (Julia Computing)
Profiling Tool Wins and Woes (Jameson Nash)
Julia的版本发布流程 (Stefan Karpinski)
Julia Workshop@Beijing and the Julia Localization Prize (Roger Luo, Jun Tian)
Julia夏季会议@Beijing & 本地化奖 (罗秀哲,田俊)
Lessons Learned on Object Constructors (Mathieu Besançon)
Bridges as an Extended Dispatch System (Mathieu Besançon)
Building a Constraint Programming Solver in Julia (Ole Kröger)
Constraint Solver Part 2: Pruning (Ole Kröger)
Constraint Solver Part 3: More Pruning & Benchmarking (Ole Kröger)
Constraint Solver Part 4: Alldifferent Constraint (Ole Kröger)
Constraint Solver Part 5: Different Data Structure (Ole Kröger)
Constraint Solver Part 6: Backtrack and Sum Constraint (Ole Kröger)
Constraint Solver Part 7: Sum Constraint Speed-Up (Ole Kröger)
Deep Learning: Exploring High Level APIs of Knet.jl and Flux.jl in Comparison to Tensorflow-Keras (Al-Ahmadgaid B. Asaad)
When Do Micro-Optimizations Matter in Scientific Computing? (Chris Rackauckas)
Solving PDEs in Julia (Chris Rackauckas)
Sortie de JuMP 0.19, la Couche de Modélisation Mathématique pour Julia (Thibaut Cuvelier)
How My Julia Coding Style Changed (Tamás Papp)
ANN: DynamicHMC 2.0 (Tamás Papp)
Upcoming Julia Events
Boulder: Julia Meetup with Boulder Data Science, Machine Learning and AI at Galvanize Boulder Oct 2
Sydney: Data Science & Analytics Using Python, R, Julia + More with PyData Sydney Oct 2
Cambridge, MA: Hacktoberfest Hack Night with Cambridge Area Julia Users Network at MIT Oct 7
New York: Julia Day in New York with Viral Shah, Stefan Karpinski and Jon Shepherd (Julia Computing) Oct 7
Bucharest: Introduction to Deep Learning with Julia with Bucharest Julia Users Group Oct 9
Rio de Janeiro: Julia Users in Rio Evento with Rio de Janeiro Julia Meetup at PUC-Rio Oct 10
Mendoza: Taller de Programación en Julia with Ciencia de Datos en Mendoza Oct 15
Paris: Meetup with Michael Herbst and François Févotte Oct 17
Athens: Association for Computing Machinery (ACM) Special Interest Group on Programming Languages (SIGPLAN) Conference on Systems, Programming Languages and Applications: Software for Humanity (SPLASH) with Alan Edelman, Stefan Karpinski and Jeff Bezanson (Julia Computing) Oct 20-25
Orlando: American Conference on Pharmacometrics (ACoP10) with Viral Shah and Andreas Noack (Julia Computing) Oct 20-23
San Jose:LLVM Developers Meeting with Jameson Nash (Julia Computing) Oct 22-23
Sydney: Data Science & Analytics Using Python, R, Julia + More with PyData Sydney Nov 5
Denver: SC19 with Alan Edelman (Julia Computing) Nov 17-22
London: Open Data Science Conference (ODSC) with Avik Sengupta (Julia Computing) Nov 19-22
Sydney: Data Science & Analytics Using Python, R, Julia + More with PyData Sydney Dec 4
Montreal: Node + JS Interactive with Jameson Nash (Julia Computing) Dec 11-12
Recent Julia Events
Berlin: Julia User Group Meetup with Simon Christ at Nextjournal Sept 10
West Lafayette, IN: Solving the Two Language Problem in Scientific Computing and Machine Learning using Julia with Viral Shah (Julia Computing) Sept 11
Online: Introduction to Machine Learning and Artificial Intelligence in Julia with Julia Computing Sept 11-12
Santa Clara: Building a High-Performance Earth System Model in Julia at Hacker Dojo Sept 16
Sydney: Data Science & Analytics Using Python, R, Julia + More with PyData Sydney Sept 17
Cambridge, MA: MIT Technology Review EmTech with Viral Shah (Julia Computing) at MIT Media Lab Sept 17-19
Online: Parallel Computing in Julia with Julia Computing Sept 18-19
Minneapolis: First Twin Cities Julia User Group Meetup! at Relational AI MSP Sept 20
New York: Strata Data Conference with Viral Shah, Stefan Karpinski, Jon Shepherd and Jerry Amaral (Julia Computing) Sept 23-26
Cambridge, MA: Guest Lectures on Performance with Valentin Churavy and Jameson Nash (Julia Computing) Sept 26
London: Binary Builder and Emergent Design with Avik Sengupta (Julia Computing) at University College London Sept 30
Julia Meetup Groups: There are 37 Julia Meetup groups worldwide with 8,531 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.
Barcelona: Barcelona Julia Meetup (114 members)
Berlin: Julia Users Group (129 members)
Boston: Cambridge Area Julia Users Network (CAJUN) (901 members)
Bratislava: Julia Users Group Slovakia (7 members)
Bucharest: Bucharest Julia Users Group (37 members)
Budapest: Budapest Julia User Group (129 members)
Campinas: Campinas Julia Language Meetup (107 members)
Chicago: Midwest Julia Users (130 members)
Cleveland: Greater Cleveland Python/Julia/R Data Science Group (569 members)
Copenhagen: JuliaCPH (111 members)
Detroit: SE-Michigan Julia Language Meetup (95 members)
Dublin: Dublin Julia Users Group (382 members)
Freiburg: Julia User Group Freiburg (18 members)
León, México: León Julia Meetup (50 members)
Lima: Julia Data Science Lima (131 members)
London: All England Julia User Group (800 members)
Los Angeles: Southern California Julia Users (176 members)
Luxembourg: BeNeLux Julia User Group (94 members)
Mexico City: JuliaLangEs - CDMX (434 members)
Minneapolis: Twin Cities Julia User Group (56 members)
New York: New York City Julia User Group (714 members)
Orlando: Julia Lang Enthusiasts at Winter Park (8 members)
Portland: Portland Julia Users (54 members)
Prague: Prague Julia Programming Group (140 members)
Raleigh: Triangle Julia Users (142 members)
Rio de Janeiro: Rio de Janeiro Julia Meetup (69 members)
Rosario, Argentina: Julia Rosario (50 members)
San Francisco: Bay Area Julia Users (766 members)
São Paulo: Julia Meetup São Paulo (117 members)
Seoul: Korea Julia User Group (16 members)
Singapore: Singapore Julia User Group (98 members)
Sydney: Julia (JuliaLang) Sydney (352 members)
Tokyo: JuliaTokyo (687 members)
Vienna: Vienna Julia Meetup (173 members)
Warsaw: Warszawskie Forum Julia (484 members)
Washington: Washington DC Greater Metro Area Julia Language Group (53 members)
Zurich: Zurich Julia Users Group (138 members)
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.
Contact Us: Please contact us if you wish to:
Purchase or obtain license information for Julia products such as JuliaSure, JuliaTeam, or JuliaRun
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, fellowship or job posting
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 10 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.
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.