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  2. Stream processing - Wikipedia

    en.wikipedia.org/wiki/Stream_processing

    Most programming languages for stream processors start with Java, C or C++ and add extensions which provide specific instructions to allow application developers to tag kernels and/or streams. This also applies to most shading languages , which can be considered stream programming languages to a certain degree.

  3. Stream (computing) - Wikipedia

    en.wikipedia.org/wiki/Stream_(computing)

    A stream can be used similarly to a list, but later elements are only calculated when needed. Streams can therefore represent infinite sequences and series. [1] In the Smalltalk standard library and in other programming languages as well, a stream is an external iterator. As in Scheme, streams can represent finite or infinite sequences.

  4. Streaming algorithm - Wikipedia

    en.wikipedia.org/wiki/Streaming_algorithm

    These algorithms are designed to operate with limited memory, generally logarithmic in the size of the stream and/or in the maximum value in the stream, and may also have limited processing time per item. As a result of these constraints, streaming algorithms often produce approximate answers based on a summary or "sketch" of the data stream.

  5. Apache Flink - Wikipedia

    en.wikipedia.org/wiki/Apache_Flink

    Apache Flink is an open-source, unified stream-processing and batch-processing framework developed by the Apache Software Foundation.The core of Apache Flink is a distributed streaming data-flow engine written in Java and Scala.

  6. Reactive Streams - Wikipedia

    en.wikipedia.org/wiki/Reactive_Streams

    Reactive Streams were proposed to become part of Java 9 by Doug Lea, leader of JSR 166 [8] as a new Flow class [9] that would include the interfaces currently provided by Reactive Streams. [ 5 ] [ 10 ] After a successful 1.0 release of Reactive Streams and growing adoption, the proposal was accepted and Reactive Streams was included in JDK9 via ...

  7. Functional reactive programming - Wikipedia

    en.wikipedia.org/wiki/Functional_reactive...

    Sodium is a push FRP implementation independent of a specific user interface (UI) framework for several languages, such as Java, TypeScript, and C#. [16] Dunai is a fast implementation in Haskell using Monadic Stream Functions that supports Classic and Arrowized FRP. ObservableComputations, a cross-platform .NET implementation.

  8. Standard streams - Wikipedia

    en.wikipedia.org/wiki/Standard_streams

    Standard input is a stream from which a program reads its input data. The program requests data transfers by use of the read operation. Not all programs require stream input. For example, the dir and ls programs (which display file names contained in a directory) may take command-line arguments, but perform their operations without any stream ...

  9. Map (higher-order function) - Wikipedia

    en.wikipedia.org/wiki/Map_(higher-order_function)

    Map functions can be and often are defined in terms of a fold such as foldr, ... Java 8+ stream.map(func) JavaScript 1.6 ECMAScript 5 array#map(func)