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Array programming. In computer science, array programming refers to solutions that allow the application of operations to an entire set of values at once. Such solutions are commonly used in scientific and engineering settings. Modern programming languages that support array programming (also known as vector or multidimensional languages) have ...
Vectorized array operations. Some compiled languages such as Ada and Fortran, and some scripting languages such as IDL, MATLAB, and S-Lang, have native support for vectorized operations on arrays. For example, to perform an element by element sum of two arrays, a and b to produce a third c, it is only necessary to write.
Guile. Emacs Lisp. JavaScript and some dialects, e.g., JScript. Lua (embedded in many games) OpenCL (extension of C and C++ to use the GPU and parallel extensions of the CPU) OptimJ (extension of Java with language support for writing optimization models and powerful abstractions for bulk data processing) Perl.
The base index of an array can be freely chosen. Usually programming languages allowing n-based indexing also allow negative index values and other scalar data types like enumerations, or characters may be used as an array index. Using zero based indexing is the design choice of many influential programming languages, including C, Java and Lisp ...
F. F-Script (programming language) Fortran. Fortress (programming language) FreeMat. Futhark (programming language)
Many programming languages include associative arrays as primitive data types, while many other languages provide software libraries that support associative arrays. Content-addressable memory is a form of direct hardware-level support for associative arrays.
numpy.org. NumPy (pronounced / ˈnʌmpaɪ / NUM-py) is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays. [3] The predecessor of NumPy, Numeric, was originally created by Jim Hugunin with ...
Nial (from "Nested Interactive Array Language") is a high-level array programming language developed from about 1981 by Mike Jenkins of Queen's University, Kingston, Ontario, Canada. Jenkins co-created the Jenkins–Traub algorithm. Nial combines a functional programming notation for arrays based on an array theory developed by Trenchard More ...