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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.
CSS frameworks include Blueprint, Bootstrap, Foundation and Materialize. Like programming and scripting language libraries, CSS frameworks are usually incorporated as external .css sheets referenced in the HTML < head >. They provide a number of ready-made options for designing and laying out the web page.
Bootstrap Studio was launched on October 19, 2015 with a post on Product Hunt where it reached number 4 in the Product of the Day category. [5] Version 2.0 of the software was released on January 22, 2016 and brought JavaScript editing, multi-page support and improved the CSS support. [6] Version 4.0 was launched on November 1, 2017.
A web template system is composed of the following: . A template engine: the primary processing element of the system; [1]; Content resource: any of various kinds of input data streams, such as from a relational database, XML files, LDAP directory, and other kinds of local or networked data;
Jekyll can be used in combination with front-end frameworks such as Bootstrap. [9] Jekyll sites can be connected to cloud-based CMS software such as CloudCannon, Forestry, or Siteleaf, enabling content editors to modify site content without having to know how to code.
Screenshot from 2007 of Horde, a groupware and open-source web application. A web application (or web app) is application software that is created with web technologies and runs via a web browser.
The studentized bootstrap, also called bootstrap-t, is computed analogously to the standard confidence interval, but replaces the quantiles from the normal or student approximation by the quantiles from the bootstrap distribution of the Student's t-test (see Davison and Hinkley 1997, equ. 5.7 p. 194 and Efron and Tibshirani 1993 equ 12.22, p. 160):
Suppose is a continuous, closed subset of the real numbers and we choose to specify measurable functions , , and numbers , …, . We consider the class of all real-valued random variables which are supported on (i.e. whose density function is zero outside of ) and which satisfy the moment conditions: