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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. WordPress - Wikipedia

    en.wikipedia.org/wiki/WordPress

    WordPress (also known as WP or WordPress.org) is a web content management system.It was originally created as a tool to publish blogs but has evolved to support publishing other web content, including more traditional websites, mailing lists and Internet forum, media galleries, membership sites, learning management systems and online stores.

  4. TinyMCE - Wikipedia

    en.wikipedia.org/wiki/TinyMCE

    HTML editor. License. GNU General Public License version 2 or later. Website. www .tiny .cloud. TinyMCE is an online rich-text editor released as open-source software under the GNU General Public License version 2 or later. [1] It converts HTML textarea fields, or other designated HTML elements, into editor instances.

  5. Ohio - Wikipedia

    en.wikipedia.org/wiki/Ohio

    Ohio (/ oʊ ˈ h aɪ. oʊ / ⓘ oh-HY-oh) is a state in the Midwestern region of the United States.Ohio borders Lake Erie to the north, Pennsylvania to the east, West Virginia to the southeast, Kentucky to the southwest, Indiana to the west, and Michigan to the northwest.

  6. MkDocs - Wikipedia

    en.wikipedia.org/wiki/MkDocs

    Themes. MkDodcs provides two built-in themes, default theme (based on Bootstrap) and Read the Docs theme. Many of the available third-party themes are listed in the official catalog, including the popular Material for MkDocs theme. History. The first tagged version of MkDocs, version 0.2, came out on January 21, 2014.

  7. Homoscedasticity and heteroscedasticity - Wikipedia

    en.wikipedia.org/wiki/Homoscedasticity_and...

    Plot with random data showing homoscedasticity: at each value of x, the y-value of the dots has about the same variance. Plot with random data showing heteroscedasticity: The variance of the y-values of the dots increases with increasing values of x.

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