Try asking Bard about APL and matrix computations, then point out the deficiency in its previous answer and see what it says.
On Tue, Aug 29, 2023 at 6:09 PM 'Skip Cave' via Programming < programm...@jsoftware.com> wrote: > What are the best computer languages to deal with matrix operations? > > There are many programming languages that are well-suited for matrix > operations. Here are some of the most popular ones: > > - MATLAB: MATLAB is a proprietary programming language developed by > MathWorks. It is specifically designed for mathematical computing and > has a > wide range of built-in functions for matrix operations. MATLAB is a > powerful language, but it can be expensive to license. > [image: MATLAB programming language logo]Opens in a new window > <https://en.wikipedia.org/wiki/MATLAB>en.wikipedia.org > <https://en.wikipedia.org/wiki/MATLAB> > MATLAB programming language logo > - Python: Python is a general-purpose programming language that is > becoming increasingly popular for scientific computing. It has a large > and > active community of developers, and there are many libraries available > for > matrix operations. Python is also free and open-source. > [image: Python programming language logo]Opens in a new window > <https://en.wikipedia.org/wiki/Python_(programming_language)> > en.wikipedia.org > <https://en.wikipedia.org/wiki/Python_(programming_language)> > Python programming language logo > - Julia: Julia is a relatively new programming language that is designed > to be fast and efficient for numerical computing. It is still under > development, but it has a growing community of users. > [image: Julia programming language logo]Opens in a new window > <https://en.wikipedia.org/wiki/Julia_(programming_language)> > en.wikipedia.org > <https://en.wikipedia.org/wiki/Julia_(programming_language)> > Julia programming language logo > - R: R is a statistical programming language that is widely used for > data analysis. It has a number of built-in functions for matrix > operations, > and there are many additional libraries available. > [image: R programming language logo]Opens in a new window > <https://commons.wikimedia.org/wiki/File:R_logo.svg> > commons.wikimedia.org > <https://commons.wikimedia.org/wiki/File:R_logo.svg> > R programming language logo > - C/C++: C/C++ are compiled languages that are known for their speed and > efficiency. They are not as well-suited for matrix operations as some of > the other languages on this list, but they can be used for very large > and > complex calculations. > [image: C programming language logo]Opens in a new window > <https://commons.wikimedia.org/wiki/File:C_Programming_Language.svg> > commons.wikimedia.org > <https://commons.wikimedia.org/wiki/File:C_Programming_Language.svg> > chevron_right > C programming language logo > > The best language for you will depend on your specific needs and > requirements. If you are looking for a powerful and versatile language with > a wide range of built-in functions, then MATLAB is a good choice. If you > are looking for a free and open-source language with a large community of > users, then Python is a good option. If you need a language that is fast > and efficient for numerical computing, then Julia is a good choice. If you > are primarily interested in statistical analysis, then R is a good choice. > And if you need a language that is very fast and efficient, then C/C++ are > good choices. > > Ultimately, the best way to decide which language is right for you is to > try them out and see which one you prefer. There are many resources > available online and in libraries that can help you get started. > Skip Cave > Cave Consulting LLC > ---------------------------------------------------------------------- > For information about J forums see http://www.jsoftware.com/forums.htm > -- Devon McCormick, CFA Quantitative Consultant ---------------------------------------------------------------------- For information about J forums see http://www.jsoftware.com/forums.htm
