Domain Specific Language Julia

At a high level a probabilistic programming languages is a kind of domain specific language or dsl.

Domain specific language julia. Creating domain specific languages in julia using macros. In this post i ll talk a bit about working in this area with julia to motivate my soss project. With the experience gained and the promise of julia to deliver the simplicity of python and pandas with the speed of c trying julia was a must. A domain specific language dsl is a computer language specialized to a particular application domain this is in contrast to a general purpose language gpl which is broadly applicable across domains.

The syntax is clear it is not verbose and it is legible. Julia is a language that is made to address the need of high performance scientific computing although it can also be used for more mundane web development. In very short terms. The format is in the middle between a classical tutorial and a cheatsheet.

To extend julia syntax to provide a simpler interface to create julia objects with complicated behaviour. R programs can do the same with r s juliacall which is demonstrated by calling mixedmodels jl from r. David sanders is an amazing speaker and the best person to learn julia from if you get a chance. Julia has foreign function interfaces for c fortran c python r java and many other languages.

Thanks for posting the link. It is a more performing and less popular version of python. In most cases it is not about a language but rather an api. I found the language easy to learn and properly structured.

The tutorial describes the elements of the language following the typical sections of a programming language tutorial data types control flows. A dsl uses a syntax appropriate for its domain. The last language i tried was julia. As you might expect this is just a language with a specific purpose in constrast with a general purpose programming language.

The focus is on julia as a generic programming language rather than on domain specific issues but some domain specific topics are covered in the useful packages section. Modiasim this is a draft web page not yet ready as entry page for modelling and simulation with a suite of julia packages currently modia modia3d and modiamath. Select from table1 where age 50 api. Specifically python programs can call julia using pyjulia.

From the perspective of language design. There are a wide variety of dsls ranging from widely used languages for common domains such as html for web pages down to languages used by only one or a few pieces of software such as. There s a bunch of his videos in the julia channel on youtube. Julia can also be embedded in other programs through its embedding api.

Since the beginning of julia it has been tempting to use macros to write domain specific languages dsls i e.