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  2. Snake case - Wikipedia

    en.wikipedia.org/wiki/Snake_case

    Piece of code from a module of the Linux kernel, which uses snake case for identifiers. Snake case (sometimes stylized autologically as snake_case) is the naming convention in which each space is replaced with an underscore (_) character, and words are written in lowercase.

  3. Naming convention (programming) - Wikipedia

    en.wikipedia.org/wiki/Naming_convention...

    In Python, if a name is intended to be "private", it is prefixed by one or two underscores. Private variables are enforced in Python only by convention. Names can also be suffixed with an underscore to prevent conflict with Python keywords. Prefixing with double underscores changes behaviour in classes with regard to name mangling.

  4. Comparison of programming languages (string functions)

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

    For function that manipulate strings, modern object-oriented languages, like C# and Java have immutable strings and return a copy (in newly allocated dynamic memory), while others, like C manipulate the original string unless the programmer copies data to a new string.

  5. Case sensitivity - Wikipedia

    en.wikipedia.org/wiki/Case_sensitivity

    Some other programming languages have varying case sensitivity; in PHP, for example, variable names are case-sensitive but function names are not case-sensitive. This means that if a function is defined in lowercase, it can be called in uppercase, but if a variable is defined in lowercase, it cannot be referred to in uppercase.

  6. Camel case - Wikipedia

    en.wikipedia.org/wiki/Camel_case

    Style guidelines often distinguish between upper and lower camel case, typically specifying which variety should be used for specific kinds of entities: variables, record fields, methods, procedures, functions, subroutines, types, etc. These rules are sometimes supported by static analysis tools that check source code for adherence.

  7. Levenshtein distance - Wikipedia

    en.wikipedia.org/wiki/Levenshtein_distance

    In information theory, linguistics, and computer science, the Levenshtein distance is a string metric for measuring the difference between two sequences. The Levenshtein distance between two words is the minimum number of single-character edits (insertions, deletions or substitutions) required to change one word into the other.

  8. Name mangling - Wikipedia

    en.wikipedia.org/wiki/Name_mangling

    32-bit compilers emit, respectively: _f _g@4 @h@4 In the stdcall and fastcall mangling schemes, the function is encoded as _name@X and @name@X respectively, where X is the number of bytes, in decimal, of the argument(s) in the parameter list (including those passed in registers, for fastcall).

  9. Syntax (programming languages) - Wikipedia

    en.wikipedia.org/wiki/Syntax_(programming_languages)

    Syntax highlighting and indent style are often used to aid programmers in recognizing elements of source code. This Python code uses color-coded highlighting. In computer science, the syntax of a computer language is the rules that define the combinations of symbols that are considered to be correctly structured statements or expressions in