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  2. Value type and reference type - Wikipedia

    en.wikipedia.org/wiki/Value_type_and_reference_type

    Value types do not support subtyping, but may support other forms of implicit type conversion, e.g. automatically converting an integer to a floating-point number if needed. Additionally, there may be implicit conversions between certain value and reference types, e.g. "boxing" a primitive int (a value type) into an Integer object (an object ...

  3. Primitive data type - Wikipedia

    en.wikipedia.org/wiki/Primitive_data_type

    byte, short, int, long, char (integer types with a variety of ranges) float and double, floating-point numbers with single and double precisions; boolean, a Boolean type with logical values true and false; returnAddress, a value referring to an executable memory address. This is not accessible from the Java programming language and is usually ...

  4. Data type - Wikipedia

    en.wikipedia.org/wiki/Data_type

    For example, in the Python programming language, int represents an arbitrary-precision integer which has the traditional numeric operations such as addition, subtraction, and multiplication. However, in the Java programming language , the type int represents the set of 32-bit integers ranging in value from −2,147,483,648 to 2,147,483,647 ...

  5. Type conversion - Wikipedia

    en.wikipedia.org/wiki/Type_conversion

    The integer is: 16777217 The float is: 16777216.000000 Their equality: 1 Note that 1 represents equality in the last line above. This odd behavior is caused by an implicit conversion of i_value to float when it is compared with f_value. The conversion causes loss of precision, which makes the values equal before the comparison. Important takeaways:

  6. Floating-point arithmetic - Wikipedia

    en.wikipedia.org/wiki/Floating-point_arithmetic

    The value distribution is similar to floating point, but the value-to-representation curve (i.e., the graph of the logarithm function) is smooth (except at 0). Conversely to floating-point arithmetic, in a logarithmic number system multiplication, division and exponentiation are simple to implement, but addition and subtraction are complex.

  7. Python syntax and semantics - Wikipedia

    en.wikipedia.org/wiki/Python_syntax_and_semantics

    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).

  8. Return type - Wikipedia

    en.wikipedia.org/wiki/Return_type

    In computer programming, the return type (or result type) defines and constrains the data type of the value returned from a subroutine or method. [1] In many programming languages (especially statically-typed programming languages such as C, C++, Java) the return type must be explicitly specified when declaring a function.

  9. Callback (computer programming) - Wikipedia

    en.wikipedia.org/wiki/Callback_(computer...

    The get-word! values (i.e., :calc-product and :calc-sum) trigger the interpreter to return the code of the function rather than evaluate with the function. The datatype! references in a block! [float! integer!] restrict the type of values passed as arguments.