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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. Comparison of programming languages (string functions)

    en.wikipedia.org/wiki/Comparison_of_programming...

    String functions common to many languages are listed below, including the different names used. The below list of common functions aims to help programmers find the equivalent function in a language. Note, string concatenation and regular expressions are handled in separate pages.

  4. Regular expression - Wikipedia

    en.wikipedia.org/wiki/Regular_expression

    Regular expressions are used in search engines, in search and replace dialogs of word processors and text editors, in text processing utilities such as sed and AWK, and in lexical analysis. Regular expressions are supported in many programming languages. Library implementations are often called an "engine", [4] [5] and many of these are ...

  5. re2c - Wikipedia

    en.wikipedia.org/wiki/Re2c

    re2c is a free and open-source lexer generator for C, C++, D, Go, Haskell, Java, JavaScript, OCaml, Python, Rust, V and Zig. It compiles declarative regular expression specifications to deterministic finite automata.

  6. RE/flex - Wikipedia

    en.wikipedia.org/wiki/Re/flex

    Besides the built-in RE/flex POSIX regex pattern matcher, RE/flex also supports PCRE2, Boost.Regex and std::regex pattern matching libraries. PCRE2 and Boost.Regex offer a richer regular expression pattern syntax with Perl pattern matching semantics, but are slower due to their intrinsic NFA-based matching algorithm.

  7. 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})

  8. Lazy evaluation - Wikipedia

    en.wikipedia.org/wiki/Lazy_evaluation

    In Python 3.x the range() function [28] returns a generator which computes elements of the list on demand. Elements are only generated when they are needed (e.g., when print(r[3]) is evaluated in the following example), so this is an example of lazy or deferred evaluation:

  9. Racket (programming language) - Wikipedia

    en.wikipedia.org/wiki/Racket_(programming_language)

    Thus, the Racket distribution features an extensive library that covers systems and network programming, web development, [59] a uniform interface to the underlying operating system, a dynamic foreign function interface, [63] several flavours of regular expressions, lexer/parser generators, [58] logic programming, and a complete GUI framework.