In Mathematica everything is included from the start and there is no need for import, as all functions are immediately available. Each major release adds a lot of new functions - in total there are currently about 5000 of them. Back than it was version 5.4, while at the time of writing this post the version number is 11.3 with 12 coming soon. My first experience with Mathematica was during an undergraduate Maths class where I was immediately impressed by the interactive 3D plots. Although I guess the share is dropping also there as Python gets more and more popular. Wolfram is widely used in academia, especially in physics and financial analytics. The Wolfram language was previously known as Mathematica, which is the main platform for the Wolfram language, besides the Wolfram Cloud and Wolfram Script. The Wolfram Language has been around for over 30 Years, therefore it is actually older than R and Python. Python is now the most popular language for data science projects, while the Wolfram Language is rather a niche language in this concern. In this post I will show some differences between Wolfram and Python and presume that you are familiar with Python but not with Wolfram. There are many blog posts comparing R and Python for data science but there are only a few about Wolfram vs. Original published: for an update see Introduction
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