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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. As of May 2023, Bootstrap is the 17th most starred ...
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Originally called the United Kingdom of Libya, it came into existence upon independence on 24 December 1951 and lasted until a coup d'état led by Muammar Gaddafi on 1 September 1969 overthrew King Idris. Its flag was a triband of red, black and green with a crescent moon and star. 1969–1972.
Overview. 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; Template resource: web template s specified ...
The main types are: Drug-drug interaction. This is when a medication reacts with one or more other drugs. For example, taking a cough medicine ( antitussive) and a drug to help you sleep (sedative ...
Bootstrapping (compilers) In computer science, bootstrapping is the technique for producing a self-compiling compiler – that is, a compiler (or assembler) written in the source programming language that it intends to compile. An initial core version of the compiler (the bootstrap compiler) is generated in a different language (which could be ...
the free encyclopedia that anyone can edit. 6,826,112 articles in English. From today's featured article. The oyster dress is a high fashion gown created by British fashion designer Alexander McQueen for his Spring/Summer 2003 collection Irere. McQueen's design is a one-shouldered dress in bias-cut beige silk chiffon with a boned upper body and ...
v. t. e. Bootstrap aggregating, also called bagging (from b ootstrap agg regat ing ), is a machine learning ensemble meta-algorithm designed to improve the stability and accuracy of machine learning algorithms used in statistical classification and regression. It also reduces variance and helps to avoid overfitting.