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Download QR code; Print/export ... compares the features of array data structures or matrix processing for various computer programming ... Python [8] [9] name[first ...
Download QR code; Print/export ... The table shows a comparison of functional programming languages which compares various features and designs of ... Python: No [73 ...
The fundamental idea behind array programming is that operations apply at once to an entire set of values. This makes it a high-level programming model as it allows the programmer to think and operate on whole aggregates of data, without having to resort to explicit loops of individual scalar operations.
Python sets are very much like mathematical sets, and support operations like set intersection and union. Python also features a frozenset class for immutable sets, see Collection types. Dictionaries (class dict) are mutable mappings tying keys and corresponding values. Python has special syntax to create dictionaries ({key: value})
Arrays can be replaced by maps or random access lists, which admit purely functional implementation, but have logarithmic access and update times. Purely functional data structures have persistence, a property of keeping previous versions of the data structure unmodified. In Clojure, persistent data structures are used as functional ...
However, not all persistent data structures are purely functional. [1]: 16 For example, a persistent array is a data-structure which is persistent and which is implemented using an array, thus is not purely functional. [citation needed] In the book Purely functional data structures, Okasaki compares destructive updates to master chef's knives.
Intel oneMKL has the following functional categories: [15] Linear algebra: BLAS routines are vector-vector (Level 1), matrix-vector (Level 2) and matrix-matrix (Level 3) operations for real and complex single and double precision data. LAPACK consists of tuned LU, Cholesky and QR factorizations, eigenvalue and least squares solvers.
For example, array with constant-time access and update is a basic component of most imperative languages and many imperative data-structures, such as hash table and binary heap, are based on arrays. Arrays can be replaced by map or random access list, which admits purely functional implementation, but the access and update time is logarithmic ...