But Skip seems to want feedback on the question (see subject). The question is fine, only the answer is flawed. Flawed in a way to be expected when directing such a question at Bard.
Am 30.08.23 um 03:13 schrieb Devon McCormick:
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
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