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  2. MessagePack - Wikipedia

    en.wikipedia.org/wiki/MessagePack

    MessagePack is more compact than JSON, but imposes limitations on array and integer sizes.On the other hand, it allows binary data and non-UTF-8 encoded strings. In JSON, map keys have to be strings, but in MessagePack there is no such limitation and any type can be a map key, including types like maps and arrays, and, like YAML, numbers.

  3. WDDX - Wikipedia

    en.wikipedia.org/wiki/WDDX

    The specification supports simple data types such as number, string, boolean, etc., and complex aggregates of these in forms such as structures, arrays and recordsets (row/column data, typically coming from database queries). The data is encoded into XML using an XML 1.0 DTD, producing a platform-independent but relatively bulky representation. [4]

  4. Name–value pair - Wikipedia

    en.wikipedia.org/wiki/Name–value_pair

    A name–value pair, also called an attribute–value pair, key–value pair, or field–value pair, is a fundamental data representation in computing systems and applications. Designers often desire an open-ended data structure that allows for future extension without modifying existing code or data.

  5. Extract, transform, load - Wikipedia

    en.wikipedia.org/wiki/Extract,_transform,_load

    Splitting a column into multiple columns (e.g., converting a comma-separated list, specified as a string in one column, into individual values in different columns) Disaggregating repeating columns Looking up and validating the relevant data from tables or referential files

  6. Array (data type) - Wikipedia

    en.wikipedia.org/wiki/Array_(data_type)

    In computer science, array is a data type that represents a collection of elements (values or variables), each selected by one or more indices (identifying keys) that can be computed at run time during program execution. Such a collection is usually called an array variable or array value. [1]

  7. Python syntax and semantics - Wikipedia

    en.wikipedia.org/wiki/Python_syntax_and_semantics

    Python supports a wide variety of string operations. Strings in Python are immutable, so a string operation such as a substitution of characters, that in other programming languages might alter the string in place, returns a new string in Python. Performance considerations sometimes push for using special techniques in programs that modify ...

  8. Run-length encoding - Wikipedia

    en.wikipedia.org/wiki/Run-length_encoding

    Run-length encoding compresses data by reducing the physical size of a repeating string of characters. This process involves converting the input data into a compressed format by identifying and counting consecutive occurrences of each character. The steps are as follows: Traverse the input data.

  9. Data structure alignment - Wikipedia

    en.wikipedia.org/wiki/Data_structure_alignment

    The only notable differences in alignment for an LP64 64-bit system when compared to a 32-bit system are: A long (eight bytes) will be 8-byte aligned. A double (eight bytes) will be 8-byte aligned. A long long (eight bytes) will be 8-byte aligned.