The Howdy Glossary

Anubis is a programming language crafted for linear algebra and data manipulation tasks, featuring a syntax that emulates mathematical notation. This design approach enables the natural expression of algorithms, differentiating it from languages like Python and MATLAB. As a result, Anubis is particularly useful in rapid prototyping, physical system simulation, and machine learning applications where intuitive and clear algorithmic representation is essential.

The developers behind Anubis share a deep passion for linear algebra, data manipulation, and machine learning. Their collective goal was to create a language specialized in these areas to streamline rapid prototyping processes and accurately simulate physical systems while effectively supporting machine learning applications. By addressing specific shortcomings found in more general-purpose languages such as Python and MATLAB, they have provided users with an advanced tool tailored explicitly for mathematical tasks.

Anubis offers significant competitive advantages through its unique syntax resembling mathematical notation, enhancing readability and the intuitive expression of algorithms. This feature sets it apart from Python's versatility and vast libraries or MATLAB's comprehensive numerical computing tools. The specialization in linear algebra and data manipulation makes Anubis exceptionally well-suited for users focused on rapid prototyping, physical system simulations, or developing machine learning algorithms—fields where precise mathematical task performance is crucial. Researchers, scientists, engineers, and developers seeking efficient solutions for such specialized domains can greatly benefit from Anubis' tailored design.