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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 ...

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  4. Bootstrap Studio - Wikipedia

    en.wikipedia.org/wiki/Bootstrap_Studio

    Bootstrap Studio. Bootstrap Studio is a proprietary web design and development application. It offers a large number of components for building responsive pages including headers, footers, galleries and slideshows along with basic elements, such as spans and divs. [1]

  5. CSS - Wikipedia

    en.wikipedia.org/wiki/CSS

    Syntax CSS has a simple syntax and uses a number of English keywords to specify the names of various style properties. Style sheet Main article: Style sheet (web development) A style sheet consists of a list of rules. Each rule or rule-set consists of one or more selectors, and a declaration block. Selector "CSS class" redirects here. For non-CSS use of element classes in HTML, see class ...

  6. Jinja (template engine) - Wikipedia

    en.wikipedia.org/wiki/Jinja_(template_engine)

    Jinja (template engine) Jinja is a web template engine for the Python programming language. It was created by Armin Ronacher and is licensed under a BSD License. Jinja is similar to the Django template engine but provides Python-like expressions while ensuring that the templates are evaluated in a sandbox. It is a text-based template language ...

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  8. 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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