In a previous post, I discussed using type domain information to speed up generation of random density matrices with small dimension in Julia. There, we gave the Julia compiler knowledge of the dimension of the matrices at the time it generates code, inst... (more…)

In my previous blog post, I discussed how to use Cython to get a more than hundredfold speed improvement on training an adaptive equaliser for optical communications experiments and simulations. The downside to that gain was that the optimised Cython-code... (more…)

The strongest legacy of Lisp in the Julia language is its metaprogramming support. Like Lisp, Julia represents its own code as a data structure of the language itself. Since code is represented by objects that can be created and manipulated from within th... (more…)

Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube. (more…)

I am thinking How can it applied in large projects or software development projects, if there is no oop. I heard struct and things. But some answer told It is not oop. What are advantage and disadvantage of using oop in julia way? Which one is more heav... (more…)