Tag: Julia
One of the widely discussed features of Julia is its support for metaprogramming. This feature makes it possible to generate and inspect the code at runtime. In essence, metaprogramming blurs the distinction between code and data. When used carefully, it can contribute to good code. Of course, Julia is not the only or the first […]
Julia supports calling external functions, especially those written in “C” language. As Julia documentation says, such calls do not involve any “boilerplate” code and hence are efficient. In today’s article, I am going to show how to call functions defined in a DLL (Windows 64 bit). Instead of using direct “C” functions, I will discuss […]
Mathematica is a powerful environment for symbolic and numerical computation. I have been using it for many years now. In this post I had explained how we can use Mathematica bundled with Raspberry distribution to control littleBits devices. When I saw that there is support in Julia for interacting with Mathematica, I decided to investigate it […]
I got interested in Julia programming language quite recently, primarily because of a project involving image processing and machine learning. The language is still evolving, but already has a rich set of features and a good collection of external libraries covering many areas. One of the highlights of the language is its highly optimised code generation, […]
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