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  2. Bootstrap (front-end framework) - Wikipedia

    en.wikipedia.org/wiki/Bootstrap_(front-end...

    Bootstrap (formerly Twitter Bootstrap) is a free and open-source CSS framework directed at responsive, mobile-first front-end web development. It contains HTML, CSS and (optionally) JavaScript -based design templates for typography, forms, buttons, navigation, and other interface components. As of May 2023, Bootstrap is the 17th most starred ...

  3. Bootstrapping (compilers) - Wikipedia

    en.wikipedia.org/wiki/Bootstrapping_(compilers)

    Download as PDF; Printable version In computer science, bootstrapping is ... Also this is the method used for Free Pascal after the initial bootstrap.

  4. Bootstrapping (electronics) - Wikipedia

    en.wikipedia.org/wiki/Bootstrapping_(electronics)

    Bootstrapping is a technique in the field of electronics where part of the output of a system is used at startup.. A bootstrap circuit is one where part of the output of an amplifier stage is applied to the input, so as to alter the input impedance of the amplifier.

  5. By His Bootstraps - Wikipedia

    en.wikipedia.org/wiki/By_His_Bootstraps

    Publication date. October 1941. " By His Bootstraps " is a 20,000 word science fiction novella by American writer Robert A. Heinlein. It plays with some of the inherent paradoxes that would be caused by time travel . The story was published in the October 1941 issue of Astounding Science Fiction under the pen name Anson MacDonald; the same ...

  6. Bootstrapping - Wikipedia

    en.wikipedia.org/wiki/Bootstrapping

    During the installation of computer programs, it is sometimes necessary to update the installer or package manager itself. The common pattern for this is to use a small executable bootstrapper file (e.g., setup.exe) which updates the installer and starts the real installation after the update.

  7. Bootstrapping (statistics) - Wikipedia

    en.wikipedia.org/wiki/Bootstrapping_(statistics)

    Bootstrapping is any test or metric that uses random sampling with replacement (e.g. mimicking the sampling process), and falls under the broader class of resampling methods. Bootstrapping assigns measures of accuracy ( bias, variance, confidence intervals, prediction error, etc.) to sample estimates.

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