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  2. Unidirectional data flow - Wikipedia

    en.wikipedia.org/wiki/Unidirectional_data_flow

    In information technology and computer science, the pattern of applying one-way mutations on an immutable data state is called unidirectional data flow. [1] Separation of state changes from presentation has many benefits and was popularized with Redux for unidirectional data flow combined with React for presenting, or rendering, data state.

  3. Apache Spark - Wikipedia

    en.wikipedia.org/wiki/Apache_Spark

    Spark Core is the foundation of the overall project. It provides distributed task dispatching, scheduling, and basic I/O functionalities, exposed through an application programming interface (for Java, Python, Scala, .NET [16] and R) centered on the RDD abstraction (the Java API is available for other JVM languages, but is also usable for some other non-JVM languages that can connect to the ...

  4. Data transformation (computing) - Wikipedia

    en.wikipedia.org/wiki/Data_transformation...

    Code generation is the process of generating executable code (e.g. SQL, Python, R, or other executable instructions) that will transform the data based on the desired and defined data mapping rules. [4] Typically, the data transformation technologies generate this code [5] based on the definitions or metadata defined by the developers.

  5. mod_python - Wikipedia

    en.wikipedia.org/wiki/Mod_python

    The initial implementation of mod_python was a port to Apache HTTP server of a project called NSAPy. NSAPy was written by Aaron Watters for the Netscape Enterprise Server and was used as an example in a chapter of the book Internet Programming with Python written by Aaron Watters, Guido van Rossum, and James Ahlstrom. [1]

  6. Program transformation - Wikipedia

    en.wikipedia.org/wiki/Program_transformation

    A program transformation is any operation that takes a computer program and generates another program. In many cases the transformed program is required to be semantically equivalent to the original, relative to a particular formal semantics and in fewer cases the transformations result in programs that semantically differ from the original in predictable ways.

  7. Whitening transformation - Wikipedia

    en.wikipedia.org/wiki/Whitening_transformation

    A whitening transformation or sphering transformation is a linear transformation that transforms a vector of random variables with a known covariance matrix into a set of new variables whose covariance is the identity matrix, meaning that they are uncorrelated and each have variance 1. [1]

  8. Power transform - Wikipedia

    en.wikipedia.org/wiki/Power_transform

    In statistics, a power transform is a family of functions applied to create a monotonic transformation of data using power functions.It is a data transformation technique used to stabilize variance, make the data more normal distribution-like, improve the validity of measures of association (such as the Pearson correlation between variables), and for other data stabilization procedures.

  9. User-defined function - Wikipedia

    en.wikipedia.org/wiki/User-defined_function

    In the COBOL programming language, a user-defined function is an entity that is defined by the user by specifying a FUNCTION-ID paragraph. A user-defined function must return a value by specifying the RETURNING phrase of the procedure division header and they are invoked using the function-identifier syntax.

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