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immediately on your desktop or laptop. Includes Julia compiler, debugger, profiler, integrated development environment, visualization and plotting and over 100 curated packages.
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Julia by the Numbers Julia use expanded dramatically in 2016, and 2017 is shaping up to be the year that Julia expands from early adopters into the mainstream.
|Cumulative Number of
|As of Jan 1, 2016
|As of Jan 1, 2017
|Stack Overflow questions
|Stack Overflow, script
|GitHub stars across packages
|S3stat, using S3 logs
|Published citations for Julia Paper ( & )
 Julia: A Fast Dynamic Language for Technical Computing (2012)
 Julia: A Fresh Approach to Numerical Computing (2014)
Julia Jobs Growth Demand for Julia programmers is increasing rapidly in finance, industry, science and technology.
Employers looking to hire Julia programmers in 2017 include: Apple, Amazon, Facebook, BlackRock, Ford, Oracle, Comcast, Massachusetts General Hospital, Farmers Insurance, Los Alamos National Laboratory and the National Renewable Energy Laboratory. Indeed.com: Julia Job Postings and Julia Jobseeker Interest
Julia Development Update Calendar 2016 -Julia 0.5, JuliaPro and JuliaPro Enterprise released, including Excel integration
Julia debugger, profiler and integrated development environment
Julia became available on Amazon Web Services and AWS pronounced
MXNet the “Framework of Choice” for deep learning using Julia and other languages 2017 Q1
JuliaFin launches, including Bloomberg integration, Excel
integration, advanced time-series functionality and Miletus, a new dedicated Julia package for implementation of complex trading strategies
Julia launches on Microsoft Azure’s Data Science Virtual Machine
2017 Q2 & Q3
JuliaCon 2017 @ UC Berkeley
-Julia 1.0 release
Julia in the News
"Julia is poised to become one of the leading tools deployed by developers and programmers at banks, hedge funds, regulators and vendors.” WatersTechnology: “The Infancy of Julia: An Inside Look at How Traders and Economists are Using the Julia Programming Language"
"Julia is fast, can call C directly without a wrapper, integrates top tier open source C and Fortran code into its Base library, and can easily call Python as well. Julia is built for parallel and cloud computing, and has particular interest from the analytics and scientific computing communities. According to KDnuggets' most recent analytics software poll, Julia placed 8th on the list of most used programming languages.” KDnuggets: “Top Machine Learning Projects for Julia"
"Delivering Hadoop style parallelism, ... [Julia] is destined to make a major impact." Coding Dojo: "7 New Programming Languages to Learn in 2016"
"It's notable that Julia, a high-level programming language built expressly for use in technical computing, has entered TIOBE’s list In industries that prize efficiency, such as finance, Julia has enjoyed rapid adoption by tech professionals and data scientists. In banking and trading, algorithmic traders and quants now rely on Julia because it allows them to push code as quickly as possible to market, without needing to rewrite.” Dice: “Julia Gains Popularity on the TIOBE Language List"
"Overall, Julia is a welcome addition [to the High Performance Computing (HPC)] community. The future looks bright for Julia. New and existing HPC coders will appreciate a dirt-simple on-ramp to the HPC superhighway.” TheNextPlatform: “Dirt Simple HPC: Making the Case for Julia"
Julia should be on the radar of everyone from traders and operations executives to IT managers, developers and data scientists and really anyone who wants to expand their job options as electronic trading takes over and the industry as a while becomes more technology-centric. Efinancialcareers: "Julia Programming Language: This Is the New Skill Hedge Funds Are Asking For"
Julia Case Studies
Nobel Laureate Thomas J. Sargent, presenting at JuliaCon 2016, described his next-generation macroeconomic models as "a walking advertisement for Julia"
Julia for Deep Learning was showcased with IBM at SC16, using IBM’s Power8 server and NVIDIA GPU accelerators to increase the processing speed of medical image analysis 57x for diagnosing diabetic retinopathy
Researchers at Intel, UC Berkeley, Lawrence Berkeley Labs, the National Energy Research Scientific Computing Center (NERSC), JuliaLabs@MIT and Julia Computing developed a new parallel supercomputing method which increases the speed of astronomical image analysis 225x
BlackRock, the world’s largest asset manager, is using Julia to upgrade their trademark Aladdin analytics platform
The Federal Reserve Bank of New York is using Julia to run their Dynamic Stochastic General Equilibrium model 10-11x faster with 50% fewer lines of code
Voxel8 is using Julia for 3D printing and drone manufacture
UC Berkeley researchers are using Julia to guide the Berkeley Autonomous Race Car
An article published in Nature describes how UK cancer researchers are using Julia to model cancer evolution and inform interpretation of cancer genomes
Augmedics is using Julia to provide surgeons with ‘X-ray vision’ using Julia and augmented reality to project images of internal structures onto patients’ bodies in real time during surgery
PathBioAnalytics is using Julia to develop personalized precision medical treatments for patients
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Case Studies: Are you using Julia for something interesting, unique, exciting or cool? Please check out the case studies on our Website. If you have a Julia story to tell, we want to capture it. Please contact us at <firstname.lastname@example.org> and we will follow up with you for more information.