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Camel case is named after the "hump" of its protruding capital letter, similar to the hump of common camels.. Camel case (sometimes stylized autologically as camelCase or CamelCase, also known as camel caps or more formally as medial capitals) is the practice of writing phrases without spaces or punctuation and with capitalized words.
A sample of naming conventions set by Sun Microsystems are listed below, where a name in "CamelCase" is one composed of a number of words joined without spaces, with each word's -- excluding the first word's -- initial letter in capitals – for example "camelCase".
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These links took the form of plaintext camelcase words, such as "WikiCase", and the displayed title of the page this linked to would split this text at each capital letter, producing "Wiki Case". [1] This was a feature inherited from Ward Cunningham's WikiWikiWeb and thereby ultimately the programming language Smalltalk .
(Though magic words are much easier!) For documentation, you may wish to read the variables MediaWiki page. {{FULLPAGENAME}} (The page title, including namespace.) Shown here: Help:Magic words for beginners (Ex. User:QwerpQwertus/Adoption) {{PAGENAME}} (page title without namespace) Shown here: Magic words for beginners (Ex. User:QwerpQwertus ...
Alternating caps, [1] also known as studly caps [a], sticky caps (where "caps" is short for capital letters), or spongecase (in reference to the "Mocking Spongebob" internet meme) is a form of text notation in which the capitalization of letters varies by some pattern, or arbitrarily (often also omitting spaces between words and occasionally some letters).
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. It is a commonly used naming convention in computing , for example for variable and subroutine names, and for filenames .
The bag-of-words model (BoW) is a model of text which uses an unordered collection (a "bag") of words. It is used in natural language processing and information retrieval (IR). It disregards word order (and thus most of syntax or grammar) but captures multiplicity .