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  1. In computer programming, a macro (short for " macro instruction "; from Greek μακρο - 'long, large' [1]) is a rule or pattern that specifies how a certain input should be mapped to a replacement output. Applying a macro to an input is known as macro expansion. The input and output may be a sequence of lexical tokens or characters, or a syntax tree.

  2. In computer science, macroprogramming is a programming paradigm aimed at expressing the macroscopic, global behaviour of an entire system of agents or computing devices. In macroprogramming, the local programs for the individual components of a distributed system are compiled or interpreted from a macro-program typically expressed by ...

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  4. A macro in computer science is a rule or pattern that specifies how a certain input sequence (often a sequence of characters) should be mapped to a replacement input sequence (also often a sequence of characters) according to a defined procedure. A macro is used to define variables or procedures, [1] to allow code reuse, or to design ...

  5. en.wikipedia.org › wiki › MacroMacro - Wikipedia

    Computing. Macro (computer science), a set of instructions that is represented in an abbreviated format. Macro instruction, a statement, typically for an assembler, that invokes a macro definition to generate a sequence of instructions or other outputs. Macro key, a key found on some keyboards, particularly older keyboards. Media and entertainment.

  6. A general-purpose macro processor or general purpose preprocessor is a macro processor that is not tied to or integrated with a particular language or piece of software. A macro processor is a program that copies a stream of text from one place to another, making a systematic set of replacements as it does so.

    Name
    Year
    GPM
    1960s
    ML/I
    1960s
    STAGE2
    1960s
    M6
    1960s
  7. Computer science is the study of computation, information, and automation.[1][2][3] Computer science spans theoretical disciplines (such as algorithms, theory of computation, and information theory) to applied disciplines (including the design and implementation of hardware and software).[4][5][6] Algorithms and data structures are central to ...

  8. Key concepts. Assembler. Number of passes. High-level assemblers. Assembly language. Language design. Basic elements. Opcode mnemonics and extended mnemonics. Data directives. Assembly directives. Macros. Support for structured programming. Use of assembly language. Historical perspective. Current usage. Typical applications. See also. Notes.