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  2. Go (programming language) - Wikipedia

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

    Go has a number of built-in types, including numeric ones (byte, int64, float32, etc.), Booleans, and byte strings (string). Strings are immutable; built-in operators and keywords (rather than functions) provide concatenation, comparison, and UTF-8 encoding/decoding. [60] Record types can be defined with the struct keyword. [61]

  3. Type conversion - Wikipedia

    en.wikipedia.org/wiki/Type_conversion

    Existing Eiffel software uses the string classes (such as STRING_8) from the Eiffel libraries, but Eiffel software written for .NET must use the .NET string class (System.String) in many cases, for example when calling .NET methods which expect items of the .NET type to be passed as arguments. So, the conversion of these types back and forth ...

  4. x86-64 - Wikipedia

    en.wikipedia.org/wiki/X86-64

    AMD64 (also variously referred to by AMD in their literature and documentation as “AMD 64-bit Technology” and “AMD x86-64 Architecture”) was created as an alternative to the radically different IA-64 architecture designed by Intel and Hewlett-Packard, which was backward-incompatible with IA-32, the 32-bit version of the x86 architecture.

  5. Double-precision floating-point format - Wikipedia

    en.wikipedia.org/wiki/Double-precision_floating...

    Double-precision floating-point format (sometimes called FP64 or float64) is a floating-point number format, usually occupying 64 bits in computer memory; it represents a wide range of numeric values by using a floating radix point.

  6. Fyne (software) - Wikipedia

    en.wikipedia.org/wiki/Fyne_(software)

    Fyne is a free and open-source cross-platform widget toolkit for creating graphical user interfaces (GUIs) across desktop and mobile platforms. It is designed to enable developers to build applications that run on multiple desktop and mobile platforms/versions from a single code base. [2]

  7. Single-precision floating-point format - Wikipedia

    en.wikipedia.org/wiki/Single-precision_floating...

    A floating-point variable can represent a wider range of numbers than a fixed-point variable of the same bit width at the cost of precision. A signed 32-bit integer variable has a maximum value of 2 31 − 1 = 2,147,483,647, whereas an IEEE 754 32-bit base-2 floating-point variable has a maximum value of (2 − 2 −23) × 2 127 ≈ 3.4028235 ...

  8. Bridging (programming) - Wikipedia

    en.wikipedia.org/wiki/Bridging_(programming)

    Apple was not willing to pay this performance penalty, so they implemented a scheme known as "toll-free bridging" to help reduce or eliminate this problem. [ 2 ] At the time, Java was becoming a major player in the programming world, and Apple also provided a Java bridging solution that was developed for the WebObjects platform.

  9. 32-bit computing - Wikipedia

    en.wikipedia.org/wiki/32-bit_computing

    A 32-bit register can store 2 32 different values. The range of integer values that can be stored in 32 bits depends on the integer representation used. With the two most common representations, the range is 0 through 4,294,967,295 (2 32 − 1) for representation as an binary number, and −2,147,483,648 (−2 31) through 2,147,483,647 (2 31 − 1) for representation as two's complement.