Register Now for JuliaCon 2020: JuliaCon 2020 will take place online Wednesday
July 29 through Friday July 31 from 12:30 pm - 7:30 pm GMT. Workshops are Friday
July 24 through Tuesday July 28. The schedule of events is available now.
Click here to reserve your spot
Julia Computing Virtual Booth Available During JuliaCon: Julia Computing’s
virtual booth will be available during JuliaCon. Visit JuliaCon.org during
JuliaCon to find Julia Computing’s virtual booth. Connect with a Julia
Computing expert to learn more about how to leverage Julia’s speed, power
and ease of use to improve productivity, reduce cost and speed time to market.
JuliaTeam and JuliaRun Live Demonstrations During JuliaCon: Julia Computing
will demonstrate exciting new JuliaTeam and JuliaRun product features including
VS Code integration, running Julia in your browser, single-click parallel
computing in the cloud and more. Live online demonstrations are Wednesday
July 29 (5:45 pm - 6:45 pm GMT), Thursday July 30 (11:30 am - 12:30 PM GMT)
and Friday July 31 (7:45 pm - 8:45 pm GMT). Click here to register.
Feel the Power! Julia for Energy Webinar from Julia Computing: Dr. Matt Bauman,
Julia Computing Senior Research Scientist, leads a free Julia for Energy Webinar
on Thursday July 16 from 12 noon - 1 pm Eastern (US). Space is limited
so please click here to register. Julia users
in the energy sector include AOT, EVN, Fugro Roames, Invenia, LAMPS PUC-RIO, PSR and the US Department of Energy.
Register today to reserve your spot and learn more about how Julia can help make
optimization, energy trading and modeling more efficient, faster, simpler and
Julia Computing Enterprise Products
Julia Computing provides full service development support,
production support and indemnification for companies using Julia.
Subscriptions are USD $99 per month. Click here to
Julia Computing lets your entire enterprise work together
using Julia. Collaborate, develop and manage private and public
packages across your organization, manage open source licenses and
benefit from continuous integration, deployment, security, indemnity
and enterprise governance. Click here for more
Julia Computing helps you scale and deploy Julia using high
performance computing (HPC) resources, including large parallel
simulations and analyses in the cloud: AWS, Microsoft Azure or
Google Cloud. Click here for more
from Julia Computing is a comprehensive platform for pharmaceutical
modeling and simulation, providing a single tool for the entire drug
development pipeline. Click here for more
The Great ML Language (Un)Debate: Dr. Huda Nassar represented Julia in the
Great ML Language (Un)Debate
to discuss the benefits of Julia compared with alternatives
Great ML Language (Un)Debate is available on YouTube.
Julia for Pythonistas Colab Notebook: Aurélien Geron
published the Julia for Pythonistas Colab Notebook. As Aurélien explains, “Julia looks and feels
a lot like Python, only much faster. It’s dynamic, expressive, extensible,
with batteries included, in particular for data science.”
Julia Chinese Community 2020 Summer Conference (Julia中文社区2020年夏季会议):
The Julia community in China will hold a summer conference, tentatively
scheduled for August 18-24. More information is available here.
Julia Reads CSVs 10-20x Faster than Python and R: New benchmarks are
available demonstrating that Julia reads CSV files 10-20x faster than
Python and R. Click here for more information.
MIT JuliaLab and Microsoft Tackle Pandemic Modeling: MIT JuliaLab’s Chris
Rackauckas teamed with researchers from Microsoft, University of Oxford,
Swansea University, University of Cambridge, University of Warwick, Alan
Turing Institute and Royal Society Rapid Assistance in Modeling the Pandemic (RAMP)
to build an open platform for pandemic modeling in Julia. More information is
Julia and Spark, Better Together: Julia Computing’s Avik Sengupta published an
updated blog titled Julia and Spark, Better Together
which describes how Spark.jl enables the use of Julia programs on Spark.
Argonne National Laboratory: Julia Computing’s Mike Innes presented
Building Compilers for Numerical Programming online to the US Department of
Energy Argonne National Laboratory.
Interdisciplinary Centre for Mathematical and Computational Modeling:
Julia Computing Chief Scientist Alan Edelman presented
High Performance Computing: The Power of Language
via the University of Warsaw Interdisciplinary Centre for Mathematical and Computational Modeling’s
Virtual ICM Seminars in Computer and Computational Science as part of
Supercomputing Frontiers Europe 2020.
Julia for Climate Modeling: The Climate Modeling Alliance has published
CliMA 0.1: A First Milestone in the Next Generation of Climate Models
by Sabrina Pirzada which describes how they are using Julia to build better climate models.
Julia and Julia Computing in the News
Julia Blog Posts
Upcoming Julia Online Events
Recent Julia Online Events
Julia Jobs, Fellowships and Internships
Do you work at or know of an organization looking to hire Julia programmers as staff, research
fellows or interns? Would your employer be interested in hiring interns to work on open source
packages that are useful to their business? Help us connect members of our community to great
opportunities by sending us an email, and we’ll get the word out.
There are hundreds of Julia jobs currently listed on Indeed.com. Click here to apply.
Contact Us: Please contact us if you wish to:
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 other scientific and numeric computing applications.
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.
Julia has been downloaded more than 17 million times and is used at more than 1,500 universities. Julia co-creators
are the winners of the 2019 James H. Wilkinson Prize for Numerical Software and the 2019 Sidney Fernbach Award.
Julia has run at petascale on 650,000 cores with 1.3 million threads to analyze over 56 terabytes of data using
Cori, one of the ten largest and most powerful supercomputers in the world.
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.
Need help with Julia?
We also provide training and consulting services
and build open source or proprietary packages
for our customers on a consulting basis. Email us:
Julia Computing's mission is to create and deliver products that make Julia easy to use, easy to deploy and easy to scale. We operate out of Boston, London and Bangalore, and we serve customers worldwide.
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