Long time don’t post…

By: Júlio Hoffimann

Re-posted from: https://juliohm.github.io/science/geostats-tutorials/

Long time don’t post. This is a quick update on a
new repository
where I will be adding GeoStats.jl
tutorials. Current contents are pasted below:

Current list of tutorials.

Kaggle: Prime Travelling Santa 2018 – MIP

By: OpenSourcES

Re-posted from: http://opensourc.es/blog/kaggle-santa-2018

First of all I want to say sorry for not writing in the last couple of months. University is stressful, I think that should be a good enough excuse 😀
Anyway I don’t get paid for it so I don’t have to say sorry 😛

Okay let’s get back to some Julia code and some optimization in 2019.
I got my secon…

Newsletter January 2019

By: Julia Computing, Inc.

Re-posted from: http://juliacomputing.com/blog/2019/01/04/january-newsletter.html

Julia Co-Creators Win Wilkinson Prize: Julia co-creators Jeff
Bezanson, Stefan Karpinski and Viral Shah are the winners of the
prestigious James H. Wilkinson Prize for Numerical
Software
.
This prize is awarded every four years to recognize innovative software
in scientific computing. The award will be presented at the Society for
Industrial and Applied Mathematics (SIAM) Conference on Computational
Science and Engineering (CSE19) in Spokane, WA Feb 25-Mar 1, 2019.

Julia Growth Metrics

  Cumulative Total as of Jan 2018 Cumulative Total as of Jan 2019 Growth
Number of Julia Downloads Initiated 1.8 million 3.2 million +78%
Julia Packages Available 1,688 2,462 +46%
Number of News Articles Mentioning Julia 93 253 +172%
Julia Discourse Threads + Stack Overflow Questions 8,620 16,363 +90%
GitHub Stars for Julia Language (Not Including Julia Packages) 9,626 19,472 +102%
Published Citations of Julia: A Fresh Approach to Numerical Computing (2017) and Julia: A Fast Dynamic Language for Technical Computing (2012) 613 1,048 +71%

* Note: Julia can also call C, C++, Fortran, Python, R, Java and MPI
libraries

Julia GitHub Stars: Julia GitHub stars have nearly doubled since the
Aug 2018 release of Julia 1.0 and Julia is one of the top 10 languages
on GitHub

measured by stars and forks.

JuliaTeam:
JuliaTeam is an
enterprise solution that makes it as easy to use and develop Julia
packages inside your company as it is in the open source world. The
current release of JuliaTeam integrates with your corporate
authentication systems and eliminates the headaches of installing and
using public Julia packages behind a corporate firewall. JuliaTeam also
gives IT and management insight and control over what packages
developers are using, helping ensure quality and security.

Upcoming
JuliaTeam
releases will include these features as well:

  • Read and search docs for all internal and external packages in a single place

  • Create and manage private package registries

  • Publish and test private packages as easily as public ones, making sure new versions work seamlessly with all the other versions of packages that your teams are using

  • Benchmark your code to make sure it runs as efficiently as possible and stays fast

  • Download a summary of licenses of all the software you depend on

JuliaTeam makes
Julia development at your company as easy, effective and fun as open
source.

For more information, contact us.

Julia Training: Julia Computing offers online and offline
training
including Introduction
to Julia, Machine Learning and Artificial Intelligence, Parallel
Computing in Julia and customized courses at every level. Registration
and course descriptions are available
here
. Live instructor-led online
courses include:

New Julia Textbook: Introduction to Linear Applied Algebra –
Vectors, Matrices and Least Squares
by
Stephen Boyd and Lieven Vandenberghe uses Julia as the language of
instruction and includes a Julia language
companion
.
This is the textbook for EE103 (Stanford University) and EE133A (UCLA).
Other Julia textbooks, tutorials and teaching resources are available at
JuliaLang.org/Learning.

Julia for Space Mission Planning: Julia Language Ephemeris and
Physical Constants Reader for Solar System
Bodies
was published by
Professor Kaela M. Martin (Embry-Riddle Aeronautical University),
undergraduates Julia Mihaylov and Renee Spear (Embry-Riddle Aeronautical
University) and Damon Landau (National Aeronautics and Space
Administration (NASA) Jet Propulsion Laboratory (JPL), California
Institute of Technology (Caltech)). This research “will help
interplanetary space mission designers more easily locate the relative
positions of planets, moons and small bodies in the solar system at
specific times in order to calculate optimum spacecraft trajectories.”

Julia for School Bus Optimization: The Institute for Operations
Research and Management Sciences (INFORMS) has
selected
MIT Sloan Professor Dimitris Bertsimas, Arthur Delarue and Sebastien
Martin as Franz Edelman award finalists for their use of Julia and
JuMP.jl to make Boston Public Schools bus routes 20% more efficient and
save $5 million per year which is being reinvested in schools.

JuMP-dev Annual Workshop: The third annual JuMP-dev
workshop
takes place
March 12-14 in Santiago, Chile.
Registration
is free and talk proposal
submissions

are encouraged.

Julia and Julia Computing in the News

Julia Blog Posts

Upcoming Julia Events

Recent Julia 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 more than 300 Julia jobs currently listed on
Indeed.com, including jobs at Accenture,
Airbus, Amazon, AstraZeneca, Barnes & Noble, BlackRock, Capital One,
Charles River Analytics, Citigroup, Comcast, Cooper Tire & Rubber,
Disney, Facebook, Gallup, Genentech, General Electric, Google, Huawei,
Johnson & Johnson, Match, McKinsey, NBCUniversal, Nielsen, OKCupid,
Oracle, Pandora, Peapod, Pfizer, Raytheon, Zillow, Brown, Emory,
Harvard, Johns Hopkins, Massachusetts General Hospital, Penn State, UC
Davis, University of Chicago, University of Virginia, Argonne National
Laboratory, Lawrence Berkeley National Laboratory, Los Alamos National
Laboratory, National Renewable Energy Laboratory, Oak Ridge National
Laboratory, State of Wisconsin and many more.

Contact Us: Please contact us if
you wish to:

  • Purchase or obtain license information for Julia products such as JuliaTeam, JuliaPro or JuliaBox

  • Obtain pricing for Julia consulting projects for your organization

  • Schedule Julia training for your organization

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

  • Spread the word about an upcoming conference, workshop, training, hackathon, meetup, talk or presentation involving Julia

  • Partner with Julia Computing to organize a Julia meetup, conference, workshop, training, hackathon, talk or presentation involving Julia

  • Submit a Julia internship, fellowship or job posting

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 3
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. 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.