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Pages in category "Articles with example Python (programming language) code" The following 200 pages are in this category, out of approximately 201 total. This list may not reflect recent changes. (previous page)
In computer science, an operator-precedence parser is a bottom-up parser that interprets an operator-precedence grammar.For example, most calculators use operator-precedence parsers to convert from the human-readable infix notation relying on order of operations to a format that is optimized for evaluation such as Reverse Polish notation (RPN).
Python supports normal floating point numbers, which are created when a dot is used in a literal (e.g. 1.1), when an integer and a floating point number are used in an expression, or as a result of some mathematical operations ("true division" via the / operator, or exponentiation with a negative exponent).
Example Meaning (of example) Unicode code point High minus [14] ¯ ¯3: Denotes a negative number U+00AF ¯ MACRON: Lamp, Comment ⍝ ⍝This is a comment: Everything to the right of ⍝ denotes a comment U+235D ⍝ APL FUNCTIONAL SYMBOL UP SHOE JOT: RightArrow, Branch, GoTo → →This_Label: →This_Label sends APL execution to This_Label:
The scope resolution and element access operators (as in Foo::Bar and a.b, respectively) operate on identifier names; not values. In C, for instance, the array indexing operator can be used for both read access as well as assignment. In the following example, the increment operator reads the element value of an array and then assigns the ...
A gag name is a pseudonym intended to be humorous through its similarity to both a real name and a term or phrase that is funny, strange, or vulgar. The source of humor stems from the double meaning behind the phrase, although use of the name without prior knowledge of the joke could also be funny.
In logic, a set of symbols is commonly used to express logical representation. The following table lists many common symbols, together with their name, how they should be read out loud, and the related field of mathematics.
The more operators one includes in a logic and the more complicated the TBox (having cycles, allowing non-atomic concepts to include each other), usually the higher the computational complexity is for each of these problems (see Description Logic Complexity Navigator for examples).