[Pkg-julia-devel] Newsletter

Tue Jan 31 16:26:25 UTC 2017

Newsletter February, 2017

      Dear Julia Users and Well Wishers,

We wanted to thank you for your support and interest in Julia, and we would like to update you on some exciting developments for 2017:

  JuliaPro Release
  Julia by the Numbers
  Julia Jobs Growth
  Julia Development Update Calendar
  Julia in the News
  Julia Case Studies
  Contact Julia Computing

    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
            As of
            Growth

            1/1/2016
            1/1/2017

                Stackoverflow questions(source: stackoverflow.com

                1,420

                 2,540

                +79%

                Registered packages(source: pkg.julialang.org)

                690

                 1,190

                +72%

                GitHub stars across packages(source: pkg.julialang.org)

                12,582

                21,843

                +74%

                JuliaBox users(source: juliabox.com)

                34k

                 58k

                +71%

                Julia downloads(source: S3stat, using S3 logs)

                346k

                 904k

                +161%

                Published citations for [1] & [2](source: 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”

        “[I]t’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 at 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 at 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 at 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 at juliacomputing.com and we will follow up with
you for more information.

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      Need Help with Julia?
      We provide products, training and consulting to make Julia easy to use, easy to deploy and easy to scale in your organization.  Mail us: info at juliacomputing.com

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