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  2. Comparison of regular expression engines - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_regular...

    Regular Expression Flavor Comparison – Detailed comparison of the most popular regular expression flavors; Regexp Syntax Summary; Online Regular Expression Testing – with support for Java, JavaScript, .Net, PHP, Python and Ruby; Implementing Regular Expressions – series of articles by Russ Cox, author of RE2; Regular Expression Engines

  3. Regular expression - Wikipedia

    en.wikipedia.org/wiki/Regular_expression

    A regular expression ... Java, and Python for instance, where the regex re is ... Possessive quantifiers are easier to implement than greedy and lazy quantifiers, and ...

  4. Lazy evaluation - Wikipedia

    en.wikipedia.org/wiki/Lazy_evaluation

    Lazy evaluation can also lead to reduction in memory footprint, since values are created when needed. [19] In practice, lazy evaluation may cause significant performance issues compared to eager evaluation. For example, on modern computer architectures, delaying a computation and performing it later is slower than performing it immediately.

  5. Evaluation strategy - Wikipedia

    en.wikipedia.org/wiki/Evaluation_strategy

    In a programming language, an evaluation strategy is a set of rules for evaluating expressions. [1] The term is often used to refer to the more specific notion of a parameter-passing strategy [2] that defines the kind of value that is passed to the function for each parameter (the binding strategy) [3] and whether to evaluate the parameters of a function call, and if so in what order (the ...

  6. Lexical analysis - Wikipedia

    en.wikipedia.org/wiki/Lexical_analysis

    The quick brown fox jumps over the lazy dog. the string is not implicitly segmented on spaces, as a natural language speaker would do. The raw input, the 43 characters, must be explicitly split into the 9 tokens with a given space delimiter (i.e., matching the string " "or regular expression /\s{1}/).

  7. Matching wildcards - Wikipedia

    en.wikipedia.org/wiki/Matching_wildcards

    In computer science, an algorithm for matching wildcards (also known as globbing) is useful in comparing text strings that may contain wildcard syntax. [1] Common uses of these algorithms include command-line interfaces, e.g. the Bourne shell [2] or Microsoft Windows command-line [3] or text editor or file manager, as well as the interfaces for some search engines [4] and databases. [5]

  8. Python syntax and semantics - Wikipedia

    en.wikipedia.org/wiki/Python_syntax_and_semantics

    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})

  9. re2c - Wikipedia

    en.wikipedia.org/wiki/Re2c

    re2c uses the following syntax for regular expressions: "foo" case-sensitive string literal 'foo' case-insensitive string literal [a-xyz], [^a-xyz] character class (possibly negated). any character except newline; R \ S difference of character classes; R* zero or more occurrences of R; R+ one or more occurrences of R; R? zero or one occurrence of R