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In array languages, operations are generalized to apply to both scalars and arrays. Thus, a+b expresses the sum of two scalars if a and b are scalars, or the sum of two arrays if they are arrays. An array language simplifies programming but possibly at a cost known as the abstraction penalty.
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 c = a + b In addition to support for vectorized arithmetic and relational operations, these languages also vectorize common mathematical functions such as sine. For example, if x is an array, then y = sin (x)
Perl 5 hashes are flat: keys are strings and values are scalars. However, values may be references to arrays or other hashes, and the standard Perl 5 module Tie::RefHash enables hashes to be used with reference keys. A hash variable is marked by a % sigil, to distinguish it from scalar, array
NumPy (pronounced / ˈ n ʌ m p aɪ / 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]
Multiple dispatch, meta, scalar and array-oriented, parallel, concurrent, distributed ("cloud") No K: Data processing, business No No No No No No Array-oriented, tacit Unknown Kotlin: Application, mobile development, server-side, client-side, web Yes Yes Yes Yes Yes Yes [30] De facto standard via Kotlin Language Specification Ksh: Shell ...
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In computer science, the reduction operator [1] is a type of operator that is commonly used in parallel programming to reduce the elements of an array into a single result. . Reduction operators are associative and often (but not necessarily) commutat
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