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The following list contains syntax examples of how to determine the dimensions (index of the first element, the last element or the size in elements).. Some languages index from zero.
The table shows a comparison of functional programming languages which compares various features and designs of different functional programming languages. Name Pure
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 ...
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 ...
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.
Structure: A graphical representation of the pattern. Class diagrams and Interaction diagrams may be used for this purpose. Participants: A listing of the classes and objects used in the pattern and their roles in the design. Collaboration: A description of how classes and objects used in the pattern interact with each other.
Functional programming – uses evaluation of mathematical functions and avoids state and mutable data Generic programming – uses algorithms written in terms of to-be-specified-later types that are then instantiated as needed for specific types provided as parameters