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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 ...
Navbar. Template documentation. This template is used in system messages, and on approximately 39,000 pages. Changes to it can cause immediate changes to the Wikipedia user interface. To avoid major disruption, any changes should be tested in the template's /sandbox or /testcases subpages, or in your own user subpage.
Bootstrap current. In a toroidal fusion power device, a plasma is confined within a donut-shaped cylinder. If the gas pressure of the plasma varies across the radius of the cylinder, a self-generated current will spontaneously arise within the plasma, due to collisions between trapped particles and passing particles. This current is called the ...
When you are logged in to Wikipedia, a link to your user page is displayed at the top of every page. That makes your user page one of the most easily accessible pages to you on Wikipedia, making it a powerful tool. One of the things you can use your user page for is navigation. It is the perfect place for bookmarks and navbars/navboxes, to get ...
The Boston Celtics announced Sunday afternoon that Porzingis won’t play in Game 4 of their Eastern Conference finals matchup against the Indiana Pacers on Monday due to his lingering calf injury.
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. When applied deliberately, the intention is usually ...
The bootstrap sample is taken from the original by using sampling with replacement (e.g. we might 'resample' 5 times from [1,2,3,4,5] and get [2,5,4,4,1]), so, assuming N is sufficiently large, for all practical purposes there is virtually zero probability that it will be identical to the original "real" sample. This process is repeated a large ...
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