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Python uses the following syntax to express list comprehensions over finite lists: S = [ 2 * x for x in range ( 100 ) if x ** 2 > 3 ] A generator expression may be used in Python versions >= 2.4 which gives lazy evaluation over its input, and can be used with generators to iterate over 'infinite' input such as the count generator function which ...
The literature on programming languages contains an abundance of informal claims about their relative expressive power, but there is no framework for formalizing such statements nor for deriving interesting consequences. [51] This table provides two measures of expressiveness from two different sources.
a declarator_list is a comma-separated list of declarators, which can be of the form identifier As object_creation_expression (object initializer declarator) , modified_identifier «As non_array_type « array_rank_specifier »»« = initial_value» (single declarator) , or
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.
The third-party library ExtLib provides a polymorphic version of functional maps, called PMap, [12] which is given a comparison function upon creation. Lists of pairs and functional maps both provide a purely functional interface. By contrast, hash tables provide an imperative interface.
Many object-oriented programming languages have a three-way comparison function, which performs a three-way comparison between the object and another given object. For example, in Java , any class that implements the Comparable interface has a compareTo method which either returns a negative integer, zero, or a positive integer, or throws a ...
This comparison of programming languages compares how object-oriented programming languages such as C++, Java, Smalltalk, Object Pascal, Perl, Python, and others manipulate data structures. Object construction and destruction
A comparison sort examines the data only by comparing two elements with a comparison operator. General method: insertion, exchange, selection, merging, etc. Exchange sorts include bubble sort and quicksort. Selection sorts include cycle sort and heapsort. Whether the algorithm is serial or parallel.