Newsletter October 2017

By JuliaHub | Oct 06, 2017

We wanted to thank all Julia users and well wishers for the continued use of and support for Julia, and share some of the latest developments from Julia Computing and the Julia community.

  1. Comparison of Differential Equation Solvers in Julia, R, Python, C, Matlab, Mathematica, Maple and Fortran

  2. JuliaCon 2017: Machine Learning / Deep Learning Video Clips

  3. Julia Computing and Julia Featured in Forbes

  4. Julia Meetups in Your City

  5. Julia Computing at Open Data Science Conference

  6. Julia at a Conference Near You

  7. Julia Goes to Hollywood

  8. Recent Julia Events in New York

  9. Contact Us


  1. Comparison of Differential Equation Solvers in Julia, R, Python, C, Matlab, Mathematica, Maple and Fortran: Julia contributor Christopher Rackauckus from UC Irvine wrote a seminal blog post comparing the capabilities of differential equation solvers in Julia and other languages. Follow the detailed discussion on Hacker News.

<a href="http://www.stochasticlifestyle.com/comparison-differential-equation-solver-suites-matlab-r-julia-python-c-fortran/"><img src = "/assets/img/new/diffeqcompare.png" style = "width: 600px; height: auto"></a>

  1. JuliaCon 2017: Machine Learning / Deep Learning Video Clips

<iframe width="560" height="315" src="https://www.youtube.com/embed/9KBaRS2gy-U" frameborder="0" allowfullscreen></iframe>

**Mike Innes: [Flux: Machine Learning with Julia](https://www.youtube.com/watch?v=9KBaRS2gy-U&feature=youtu.be)**


Jonathan Malmaud: Modern Machine Learning in Julia with TensorFlow.jl
Deniz Yuret: Machine Learning in 5 Slides
Deniz Yuret: What is Knet.jl and Why Use Julia for Deep Learning 


JuliaCon 2017

  1. Julia Computing and Julia Featured in Forbes: Forbes published a major feature about Julia Computing and Julia titled “How a New Programming Language Created by Four Scientists Is Now Used by the World’s Biggest Companies” by Suparna Dutt D’Cunha. The article describes the origin of Julia and Julia Computing and how Julia is being used today. The article has more than 75 thousand page views.

  2. Julia Meetups in Your City: There are dozens of Julia meetup groups with more than 13,000 members around the globe. Julia Computing is looking to support Julia meetups by providing training materials, Webcasts and other support. Please email us if you would like to organize a meetup group or partner with Julia Computing on a meetup event. Upcoming events include:

  3. Julia Computing at Open Data Science Conference: Julia Computing will be presenting at the Open Data Science Conference in London Oct 12-14 and in San Francisco Nov 2-4.

  4. Julia at a Conference Near You: Julia Computing will be present at several upcoming conferences and talks including:

  5. Julia Goes to Hollywood: Julia has been featured in two Hollywood television programs: The 100 and Casual. In The 100, Julia is used to represent the language of artificial intelligence in the year 2150. In Casual, Julia is described as a language for the latest generation of programmers.

  6. Recent Julia Events in New York: Julia co-creators Viral Shah and Stefan Karpinski presented an introduction to Julia at the Data Driven NYC meetup on September 25. Their presentation is available here. They also presented Julia and Spark, Better Together at the Strata Data conference. Try out the Julia bindings for Spark with Spark.jl, with a special thanks to Andrei Zhabinski.

  7. Contact Us: Please contact us if you wish to:

    • Purchase or obtain license information for Julia products such as JuliaPro, JuliaRun, JuliaDB, JuliaFin or JuliaBox

    • Obtain pricing for Julia consulting projects for your enterprise

    • Schedule Julia training for your organization

    • Share information about exciting new Julia case studies or use cases

    • Partner with Julia Computing to organize a Julia meetup group, hackathon, workshop, training or other event in your city

    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 many other domains. 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. For example, Julia has run at petascale on 650,000 cores with 1.3 million threads to analyze over 56 terabytes of data using Cori, the world’s sixth-largest supercomputer. With more than 1.2 million downloads and +161% annual growth, Julia is one of the top programming languages developed on GitHub. Julia adoption is growing rapidly in finance, insurance, machine learning, energy, robotics, genomics, aerospace, medicine and many other fields. 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. Julia Computing offers the following products:

    • JuliaPro for data science professionals and researchers to install and run Julia with more than one hundred carefully curated popular Julia packages on a laptop or desktop computer.

    • JuliaRun for deploying Julia at scale on dozens, hundreds or thousands of nodes in the public or private cloud, including AWS and Microsoft Azure.

    • JuliaFin for financial modeling, algorithmic trading and risk analysis including Bloomberg and Excel integration, Miletus for designing and executing trading strategies and advanced time-series analytics.

    • JuliaDB for in-database in-memory analytics and advanced time-series analysis.

    • JuliaBox for students or new Julia users to experience Julia in a Jupyter notebook right from a Web browser with no download or installation required.

    To learn more about how Julia users deploy these products to solve problems using Julia, please visit the Case Studies section on the Julia Computing Website.

    Julia users, partners and employers hiring Julia programmers in 2017 include Amazon, Apple, BlackRock, Capital One, Citibank, Comcast, Disney, Facebook, Ford, Google, IBM, Intel, KPMG, Microsoft, NASA, Oracle, PwC, Uber, and many more.

Looking for Model Predictive Control (MPC)?

Learn about JuliaSim Control in our webinar on MPC, trimming, and linearization in JuliaSim.

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