Tanmay Bakshi Teaches Julia for Kids and Beginners: Tanmay Teaches Julia for Kids and Beginners: A Springboard to Machine Learning is available for pre-order on Amazon and is scheduled for release on August 30. Tanmay Bakshi is a 15 year old artificial intelligence developer and instructor who began programming at age 5, started teaching coding and web development online at age 7, created his first app at age 9 and began programming with IBM Watson at age 11.
Julia Joins Upwork List of 20 Hottest Job Skills: Upwork, the world's largest marketplace for freelancers, reports that for the first time, Julia development is among the 20 hottest job skills for which companies are hiring. Julia's debut on the quarterly Upwork index reflects year-on-year growth in demand for Julia developers of more than 170%. This report has been covered by AP, Business Wire, CNBC, Inquirer, JAXenter, TechRepublic and Yahoo Finance .
UK Open Source Award: Yiannis Simillides of Imperial College and the Alan Turing Institute has been shortlisted for the UK Open Source Award for creating FEniCs.jl, the Julia version of a popular finite element package. This work was supported by Google Summer of Code (GSoC).
Alan Turing Institute Releases Machine Learning Toolbox Written in Julia: "The Alan Turing Institute has released a new machine learning toolbox, Machine Learning in Julia (MLJ), which provides a uniform interface enabling users to easily train, evaluate, and tune machine learning models," reports Synced.
Julia for Pharmacometrics: The Future of Modelling and Simulation in Pharmacometrics with Julia by Vijay Ivaturi, Chris Rackauckas and Viral Shah was published in the International Society of Pharmacometrics June newsletter.
NextJournal Launches Julia Season of Contributions (JSoC) Blog: NextJournal has launched the Julia Season of Contributions blog.
Julia Featured in Japan's Web+DB Press: The June 2019 edition of Japan's Web+DB Press features 30+ pages about Julia.
JuliaCon 2019: JuliaCon 2019 will be held July 22-26 at the University of Maryland, Baltimore.
JuliaCon is looking for sponsors and university partners in diversity. Sponsorship is available at several levels and benefits include prominent mention and logo placement at JuliaCon and in JuliaCon conference materials and Website, an opportunity to present to JuliaCon participants, presentation space during the conference and registration for JuliaCon attendees. Past JuliaCon sponsors include the Alfred P. Sloan Foundation, Microsoft, Maven, Invenia, Julia Computing, Capital One, Gordon and Betty Moore Foundation, Gambit Research, Tangent Works, Amazon, Alan Turing Institute, Jeffrey Sarnoff, EVN and Conning.
JuliaAcademy: Julia Computing's training offerings continue to expand. JuliaAcademy is the Julia Computing training platform for 3 types of learning: self-directed, online instructor-led and in-person onsite training.
JuliaAcademy courses include: Intro to Julia, Machine Learning and Artificial Intelligence in Julia, Parallel Computing in Julia, Deep Learning with Flux, Optimization with JuMP and Machine Learning with Knet.
- Self-directed training - all online, learn at your own pace
- Instructor-led online training - live two-day courses taught by Julia Computing instructors
- In-person training - contact us at [email protected] to schedule customized in-person training for your organization
Register now for instructor-led online courses. All courses include 8 hours of instruction: 4 hours per day for two consecutive days. Currently scheduled courses are from 11 am - 3 pm Eastern Daylight Time (US).
Julia and Julia Computing in the News
- Analytics India: 6 Reasons Why Julia Has Become A Go-To Language For Developers In A Short Span Of Time
- Analytics India: 7 Fastest-Growing Skills For Freelancers To Jumpstart A Career In Big Data & Analytics
- Analytics India: 10 Free Online Resources For Beginners To Learn Julia
- Analytics Insight: 2019's Top Programming Languages for Advanced Analytics, Machine Learning and Data Science
- AP: Upwork Releases Latest Skills Index, Ranking the 20 Fastest-Growing Skills for Freelancers
- Business Wire: Upwork Releases Latest Skills Index, Ranking the 20 Fastest-Growing Skills for Freelancers
- CNBC: These Are the 20 Hottest Job Skills Companies Are Looking for Right Now
- Computer Business Review: Britain's Open Source Awards
- Forbes: What Makes An Analytical Ecosystem's Application Platform Modern?
- Inquirer: Upwork Releases Latest Top 20 Fastest-Growing Skills for Freelancers
- JAXenter: Kubernetes Holds Strong, Julia Rises Among the Top 20 Fastest-Growing Skills for Freelancers
- MIT News: Gil Strang Is Still Going Strong, Online and In Print
- R-Bloggers: Data Science Jobs Report 2019: Python Way Up, TensorFlow Growing Rapidly, R Use Double SAS
- Synced: Alan Turing Institute Releases ML Framework Written in Julia
- Techiexpert: How Julia is Giving Competition to Python
- TechNotification: 5 Reasons Why You Should Learn Julia Programming Language
- TechRepublic: Beginner's Guide for TensorFlow: The Basics of Google's Machine-Learning Library
- TechRepublic: Julia, Kubernetes, and Hadoop Among the 20 Fastest-Growing Freelancer Skills
- TechRepublic: TensorFlow Terms for Beginners
- Upwork: The Hottest Skill Areas in 2019 So Far: Learning & Development, Automation, and Urban Planning
- Web+DB Press: 今号はRails 6、Julia、見える化を大特集！ 6月24日発売です！
- Yahoo Finance: These Are the 20 Hottest Job Skills Companies Are Looking for Right Now
Julia Blog Posts
- Neural Jump SDEs (Jump Diffusions) and Neural PDEs (Chris Rackauckas)
- A Summer of Julia 2019 (Avik Sengupta)
- Beyond Machine Learning Pipelines with MLJ (Anthony Blaom, Diego Arenas, Franz Kiraly, Yiannis Simillides, Sebastian Vollmer)
- DifferentialEquations.jl v6.5.0: Stiff SDEs, VectorContinuousCallback, Multithreaded Extrapolation (Chris Rackauckas)
- DifferentialEquations.jl v6.4.0: Full GPU ODE, Performance, ModelingToolkit (Chris Rackauckas)
- Neural Jump SDEs (Jump Diffusions) and Neural PDEs (Chris Rackauckas)
- Vertex Removal in LightGraphs (Mathieu Besançon)
- A Case for Multiple Dispatch: Complex Division (Mosè Giordano)
- Bézier Curves in Julia with Animations (Ole Kröger)
- DifferentialEquations.jl v6.4.0: Full GPU ODE, Performance, ModelingToolkit
- A Take on Benders Decomposition in JuMP (Mathieu Besançon)
- Getting the Value of a Pointer in Julia (Mosè Giordano)
- Variables Are Not Values: Types and Expressions in Mathematical Optimization (Mathieu Besançon)
- Random Forest Regression from Scratch Used on Kaggle Competition (Ole Kröger)
- JSoC 2019: Practical Implementation of BERT Models for Julia (Peter Cheng)
- JSoC 2019: Reinforcement Learning Environments for Julia (Kartikey Gupta)
- Bonding-Time, or Should I Say Coding Time? (Ludovico Bessi)
- Beginning of Julia Season of Contribution (Ludovico Bessi)
- Julia Season of Contributions (JSoC) - Blog #1 (Sumegh Roychowdhury)
- Julia Summer of Einsum (Andreas)
- Julia Summer of Code '19: Automatic Computation of Sparse Jacobians, Blog #1 (Pankaj Mishra)
- Blog #1: Julia Season of Code (Koustav Chowdhury)
- Blog #2: Julia Season of Code (Koustav Chowdhury)
- JSoC '19: What is Trace Estimation? (Akshay Jain)
- Kinetic Models in Real Life (Alberto Marocchino)
- DifferentialEquations.jl, An IR and Compiler for Scientific Models (Chris Rackauckas)
- Calculus with Julia
- Tip: Make an Executable Script from a Julia File (Richard Anaya)
- Benchmarking Maps, Loops, Generators and Broadcasting in Julia (Dean Markwick)
- How to Create a Multi-Threaded HTTP Server in Julia (Richard Anaya)
Upcoming Julia Events
- Cork: An Introduction to the Julia Programming Language with Avik Sengupta (Julia Computing) and Cork R-Users Group June 11
- Boulder: Julia Meetup with Boulder Data Science, Machine Learning & AI at Galvanize Boulder June 13
- Zurich: Intro to Julia with Zurich Julia User Group at ETH Zurich June 13
- Nantes: JuliaDay - Journée Julia et Optimisation with Mathieu Besançon (Centrale Lille et Polytechnique Montréal), Xavier Gandibleux (Université de Nantes) and François Vanderbeck (Atoptima) at l'Université de Nantes June 17
- Sydney: Data Science & Analytics Using Python, R, Julia + More with PyData Sydney July 3
- Hong Kong: RISE Conference with Viral Shah (Julia Computing) at Hong Kong Exhibition Centre July 8-11
- London: European Conference on Object-Oriented Programming (ECOOP) Curry On July 15-19
- Baltimore: JuliaCon 2019 at University of Maryland, Baltimore July 22-26
- Sydney: Data Science & Analytics Using Python, R, Julia + More with PyData Sydney Aug 7
- Bangalore: Open Data Science Conference (ODSC) with Viral Shah (Julia Computing) Aug 7-10
- State College, PA: International Association for Mathematical Geosciences (IAMG) Annual Conference Featuring Geostatistics with GeoStats.jl Aug 10-16
- Sydney: Data Science & Analytics Using Python, R, Julia + More with PyData Sydney Sept 4
- Orlando: American Conference on Pharmacometrics (ACoP10) with Viral Shah and Andreas Noack (Julia Computing) Oct 20-23
- London: Open Data Science Conference (ODSC) with Avik Sengupta (Julia Computing) Nov 19-22
Recent Julia Events
- Cairo: Julia & Python: Jumping in Julia. Why and How? with PyData Cairo at Nile University May 2
- Boulder: Julia Meetup with Boulder Data Science, Machine Learning and AI at Galvanize Boulder May 2
- Berkeley: Advanced Eigenvalue Algs, Julia Metaprogramming, and Common Lisp for Julians with Dan Girshovich (Rigetti), Robert Smith (Rigetti) and Brendan Gavin (Pilot.ai) at Rigetti Computing May 4
- Warsaw: Jak Bije Serce Kompilatora Julia, Czyli LLVM Od Podszewski with Warszawskie Forum Julia at Warsaw School of Economics May 8
- London: GPU Programming in Julia with Malcolm Sherrington, Avik Sengupta (Julia Computing) and London Julia User Group at Microsoft Reactor May 10
- Pasadena: SoCal Julia Meetup with Simon Byrne, Valentin Churavy and Southern California Julia Users at 516 S Catalina Av May 14
- Chicago: Google Cloud HPC Day with Matt Bauman (Julia Computing) May 15
- New York: Merging Differential Equations and Deep Learning with Chris Rackauckas (MIT, UMB), Stefan Karpinski (Julia Computing) and NYC Julia User Group at the Flatiron Institute May 16
- Livonia: The Julia Language for High Performance Applications and Data Science with Chuck Wiese (Great Lakes Consulting Services) and SE-Michigan Julia Language Meetup May 16
- Bucharest: First Bucharest Julia Meetup with Bucharest Julia Users Group at Hanul cu Tei May 19
- Cambridge, MA: Yao.jl: Extensible, Efficient Quantum Algorithm Design for Humans with Xiuzhe Luo (University of Waterloo) at MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) May 30
- Boulder: Julia Meetup with Boulder Data Science, Machine Learning and AI at Galvanize Boulder June 6
Julia Meetup Groups: There are 35 Julia Meetup groups worldwide with 8,092 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.
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 JuliaAcademy, JuliaTeam, or JuliaPro
- 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 9 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.