Julia 0.4 Released
Written by Alex Armstrong   
Friday, 16 October 2015

The Julia community has released Julia 0.4.0 with major language refinements and numerous standard library improvements. Julia 0.5.0 is now in preview with nightly builds. It will bring further, and breaking, improvements to core array functionality.

 

Julia is a dynamic language for technical computing that is especially good at running MATLAB and R-style programs. An open source language, Julia was first publicized in 2012 although development began on it in 2009 by MIT professor of Computer Science Alan Edelman with Jeff Bezanson, Stefan Karpinski, Viral B. Shah.

Back in 2012 its creators explained Why We Created Julia, saying: 

We want a language that’s open source, with a liberal license. We want the speed of C with the dynamism of Ruby. We want a language that’s homoiconic, with true macros like Lisp, but with obvious, familiar mathematical notation like Matlab. We want something as usable for general programming as Python, as easy for statistics as R, as natural for string processing as Perl, as powerful for linear algebra as Matlab, as good at gluing programs together as the shell. Something that is dirt simple to learn, yet keeps the most serious hackers happy. We want it interactive and we want it compiled.

Julia has built a strong community and there are now over 700 registered packages including: 

  • JuliaStats - for statistics and machine learning 
  • JuliaOpt - optimization packages
  • JuliaQuantum -  libraries for quantum-science and technology
  • JuliaGPU - GPU libraries and tooling
  • IJulia - notebook interface built on IPython
  • Gadfly - Grammar of Graphics-inspired statistical plotting

There is also a free open source IDE, Julio Studio, from Forio, a company that creates software for simulations, data explorations, and predictive analytics and promotes Julia.

One of the features of the new stable release, Julia 0.0.4 is Generated functions, also referred to as "staged functions" which introduce finer control over compile-time specialization. This innovation is the subject of this talk from JulaiCon 2015 presented by Jake Bolewski:

  

 

Other compiler and languages features listed on the release announcement as "notable are:

 

Attention is now focused on an issue referred to Arraypocalype Now which will bring new functionality but involves some breaking changes. Matt Bauman who authored this issue says on its GitHub page that "There is definitely more than enough work to go around!" and that "Anyone is welcome to dig in!"

 


More Information

Julia

Julia 0.4 Release Announcement

JuliaLang on GitHub

Related Articles

Julia Studio - An IDE For Julia

 

To be informed about new articles on I Programmer, sign up for our weekly newsletter, subscribe to the RSS feed and follow us on, Twitter, FacebookGoogle+ or Linkedin.

 

Banner


Learn To Protect Your APIs By Hacking Them
06/09/2022

A free course from security expert Corey Ball will teach you all the techniques necessary to hack your APIs.The ultimate goal is to learn how to protect them by first identifying any undiscovered vuln [ ... ]



GitHub Copilot Provides Productivity Boost
07/09/2022

GitHub set out to discover the impact its new AI-based tool, Copilot is having on developers' productivity. The results seem pretty conclusive - 88% of developers surveyed reported they were more prod [ ... ]


More News

 

pythondata

 



 

Comments




or email your comment to: comments@i-programmer.info

Last Updated ( Friday, 16 October 2015 )