Numerical experiments using a language is the best thing i see in GNU octave

1. Octave is open source and a free software. 2. It is better to use Octave than MATLAB as it does not take up more memory. 3. Personally I can say it has a quick run time too.

Linear algebra is a complete breeze with the language's vanilla syntax. Compared to more modernly popular languages used for Data Science such as Python , GNU Octave allows you to run tensor algebra operations using only built-in functions without having to import any 3rd party packages or modules. Despite Numpy being the standard and most commonly used library for linear algebra, I would honestly say that I still believe that even Numpy could learn a thing or two about the ease of use of Octave's mathematical syntaxes. The fact that one could implement complex matrix-vector operations in GNU Octave with mostly only built-in operators and rarely having to call functions proves just how well-optimized the language is for mathematical purposes.