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.
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.
Mike Innes: Flux: Machine Learning with Julia
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
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.
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:
Julia at a Conference Near You: Julia Computing will be present at several upcoming conferences and talks including:
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.
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.
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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:
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.