Home Artificial Intelligence Unleashing the Power of the Julia SuperType

Unleashing the Power of the Julia SuperType

Unleashing the Power of the Julia SuperType

Using and dealing with abstraction to do interesting things with the Julia language

Towards Data Science
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Certainly one of the things I find fascinating in regards to the exploration of various programming languages is the best way that different paradigms solve various kinds of problems. In programming, there are a variety of features that could be expected from a contemporary programming language. Some examples of those features include things like scope, polymorphism, and abstraction. Some paradigms are going to have more distinguished applications in certain fields, and Data Science isn’t any exception. These features are all implemented across the spectrum of programming paradigms using a large number of various approaches. This subject becomes much more interesting to me at any time when a language with a paradigm that’s atypical implements all these generic programming concepts. This brings us to the Julia programming language.

The Julia programming language is one in all the more interesting developments that has come to the world of programming lately. The world of programming is kind of used to just a few alternative paradigms which have been honed over the a long time to create some very formidable ideological approaches to solving programming problems. While Julia pulls loads of more generic programming concepts to get the job done, the language’s paradigm itself is incredibly unique and infrequently brings about a unique way of doing things. This has been coined the Multiple Dispatch programming paradigm. This paradigm is a really effective programming paradigm in terms of doing exactly what Data Scientists do.

With such a programming paradigm relationship, Julia changes its gears a bit to perform loads of the more generic programming concepts that the majority programmers are going to wish to use. There are a large number of capacities where this plays out all across Julia. All of those concepts feed back into the robust capabilities of the multiple dispatch paradigm. For knowledgeable programmers, I find this may be an incredibly powerful paradigm! That being said, with any paradigm it’s important to know what tools can be found to reap the benefits of. One example of a method that matches thoroughly into the Julian paradigm is the Julian implementation of…


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