{"id":3386,"date":"2019-10-23T13:42:37","date_gmt":"2019-10-23T13:42:37","guid":{"rendered":"https:\/\/www.octalsoftware.com.sg\/blog\/?p=3386"},"modified":"2021-08-04T12:55:01","modified_gmt":"2021-08-04T12:55:01","slug":"julia-vs-python","status":"publish","type":"post","link":"https:\/\/www.octalsoftware.com.sg\/blog\/julia-vs-python\/","title":{"rendered":"Julia vs. Python: Which programming language would be prefer?"},"content":{"rendered":"

Today in the tech world, there is a kind of debate going on over the significance of two prominent programming languages. Tech experts are constantly discussing the efficiency of one programming language over the other. And here the tug of war is going on between Julia and Python. Yes, there are many arguments going on over which programming language is better than the other and how. There are questions like which one of the two should be used for data science or which one between these two is more versatile. Here, in this article we will be drawing a comparison of sorts between Julia and Python programming languages.<\/p>\n

So it has been since years that Python has been successful ruling over the hearts of the programmers owing to its many advantages. Presently, it is even rated as one of the most prominent programming languages and one of the reasons for the same is its simplicity and this is why most of the beginners tend to use it as an ideal landing platform. In fact the versatility of Python makes it an ideal choice for the seasoned developers.<\/p>\n

Meanwhile, Python is not solely used for the development of apps<\/strong><\/span><\/a>, but it is a preferred choice as a programming language for data analysis and data machine learning. Now, where Python is incredibly popular and its growth has exploded in recent times, Julia as well is making a mark of its own slowly but steadily. Though comparatively, it is a newer language, it has garnered lots of appreciation it’s way recently. Also one of the researches has shown it as one of the top 50 popular programming languages and some are even choosing it over Python.<\/p>\n

\"Julia
\nA sneak-peek into Julia:\u00a0<\/strong>Julia as a programming language was founded by a set of tech-experts, namely Virall B Shah, Stefan Karpinski, Jeff Bezanson, Keno Fisher, Alan Edelman, and Deepak Vinchhi, and it was in 2012 that it was made available to the programmers. Then it was in 2018 that this programming language debuted with Julia 1.0 being released officially. This way, now this language has progressed from being at \u2018developer\u2019s stage\u2019 to \u2018now an expert\u2019. As per its creators, this free & open-source programming language<\/strong><\/span><\/a> was created by them because they are greedy and want more.<\/p>\n

This is what the statement says, \u201cWe want a language that\u2019s open-source, with a liberal license. We want the speed of C with the dynamism of Ruby. We want a language that\u2019s homoiconic, with true macros like Lisp, but with an 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.\u201d<\/p>\n

Now let\u2019s begin with the comparison between the two.<\/strong><\/p>\n

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