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        10 PRINT CHR$(205.5+RND(1));

        GOTO 10

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        Author(s)
        Montfort, Nick
        Baudoin, Patsy
        Bell, John
        Bogost, Ian
        Douglass, Jeremy
        Marino, Mark C.
        Mateas, Michael
        Reas, Casey
        Sample, Mark
        Vawter, Noah
        Language
        English
        Show full item record
        Abstract
        A single line of code offers a way to understand the cultural context of computing.This book takes a single line of code—the extremely concise BASIC program for the Commodore 64 inscribed in the title—and uses it as a lens through which to consider the phenomenon of creative computing and the way computer programs exist in culture. The authors of this collaboratively written book treat code not as merely functional but as a text—in the case of 10 PRINT, a text that appeared in many different printed sources—that yields a story about its making, its purpose, its assumptions, and more. They consider randomness and regularity in computing and art, the maze in culture, the popular BASIC programming language, and the highly influential Commodore 64 computer.
        URI
        http://library.oapen.org/handle/20.500.12657/26050
        Keywords
        programming; BASIC
        ISBN
        9780262526746
        OCN
        1100542107
        Publisher
        The MIT Press
        Publisher website
        https://mitpress.mit.edu/
        Publication date and place
        Cambridge, 2014
        Series
        Software Studies,
        Classification
        Media studies: advertising and society
        Programming and scripting languages: general
        Pages
        328
        Public remark
        21-7-2020 - No DOI registered in CrossRef for ISBN 9780262018463
        Rights
        http://creativecommons.org/licenses/by-nc-nd/4.0
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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