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Newsletter February 2017

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Newsletter February 2017

Newsletter February 2017

Newsletter February 2017

Date Published

Feb 4, 2017

Feb 4, 2017

Contributors

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Date Published

Feb 4, 2017

Contributors

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JuliaPro Release

If you haven't already downloaded the new JuliaPro, please take a moment to do so now. JuliaPro comes in two flavors:

  • JuliaPro: The fast, free way to download and use Julia immediately on your desktop or laptop. Includes Julia compiler, debugger, profiler, integrated development environment, visualization and plotting and over 100 curated packages.

  • JuliaPro Enterprise: For installation on your desktop, laptop or enterprise server. Includes all the features of JuliaPro, plus Excel integration and support for $1,500 per user per year. Indemnity is available with a customer site license for an additional charge. 

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

Source

As of Jan 1, 2016

As of Jan 1, 2017

Annual growth

Stack Overflow questions

Stack Overflow, script

1,420

2,540

+79%

Registered packages

pkg.julialang.org

690

1,190

+72%

GitHub stars across packages

pkg.julialang.org

12,582

21,843

+74%

JuliaBox users

juliabox.com

34k

58k

+71%

Julia downloads

S3stat, using S3 logs

346k

904k

+161%

Published citations for Julia Paper ([1] & [2])

Google Scholar

143

316

+121%

[1] Julia: A Fast Dynamic Language for Technical Computing (2012)
[2] 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 released

  • 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

  • Lincoln Labs and the Federal Aviation Administration are using Julia to analyze 650 billion decision points for the next generation Aircraft Collision Avoidance System

  • 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

Contact Julia Computing

Please contact us at <info@juliacomputing.com> for any of the following reasons:

  • Julia Sales and Marketing: Can Julia Computing help you, your organization or industry? Are you interested in JuliaFin (for finance), JuliaRun (for cloud), JuliaPro Enterprise with indemnity, support, training or consulting? Can we make you a more effective advocate for Julia within your organization or industry? Please contact us at <info@juliacomputing.com>.

  • 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 <info@juliacomputing.com> and we will follow up with you for more information.

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Authors

JuliaHub, formerly Julia Computing, was founded in 2015 by the four co-creators of Julia (Dr. Viral Shah, Prof. Alan Edelman, Dr. Jeff Bezanson and Stefan Karpinski) together with Deepak Vinchhi and Keno Fischer. Julia is the fastest and easiest high productivity language for scientific computing. Julia is used by over 10,000 companies and over 1,500 universities. Julia’s creators won the prestigious James H. Wilkinson Prize for Numerical Software and the Sidney Fernbach Award.

Authors

JuliaHub, formerly Julia Computing, was founded in 2015 by the four co-creators of Julia (Dr. Viral Shah, Prof. Alan Edelman, Dr. Jeff Bezanson and Stefan Karpinski) together with Deepak Vinchhi and Keno Fischer. Julia is the fastest and easiest high productivity language for scientific computing. Julia is used by over 10,000 companies and over 1,500 universities. Julia’s creators won the prestigious James H. Wilkinson Prize for Numerical Software and the Sidney Fernbach Award.

Authors

JuliaHub, formerly Julia Computing, was founded in 2015 by the four co-creators of Julia (Dr. Viral Shah, Prof. Alan Edelman, Dr. Jeff Bezanson and Stefan Karpinski) together with Deepak Vinchhi and Keno Fischer. Julia is the fastest and easiest high productivity language for scientific computing. Julia is used by over 10,000 companies and over 1,500 universities. Julia’s creators won the prestigious James H. Wilkinson Prize for Numerical Software and the Sidney Fernbach Award.

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Learn about Dyad

Get Dyad Studio – Download and install the IDE to start building hardware like software.

Read the Dyad Documentation – Dive into the language, tools, and workflow.

Join the Dyad Community – Connect with fellow engineers, ask questions, and share ideas.

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Want to get enterprise support, schedule a demo, or learn about how we can help build a custom solution? We are here to help.