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SassScript is the scripting language itself. Sass consists of two syntaxes. The original syntax, called "the indented syntax," uses a syntax similar to Haml. [2][3] It uses indentation to separate code blocks and newline characters to separate rules. The newer syntax, SCSS (Sassy CSS), uses block formatting like that of CSS.
e. Cascading Style Sheets (CSS) is a style sheet language used for specifying the presentation and styling of a document written in a markup language such as HTML or XML (including XML dialects such as SVG, MathML or XHTML). [ 1 ] CSS is a cornerstone technology of the World Wide Web, alongside HTML and JavaScript.
PostCSS is a framework to develop CSS tools. [ 5 ] It can be used to develop a template language such as Sass and LESS. [ 6 ] The PostCSS core consists of: [ 7 ] CSS parser that generates an abstract syntax tree. Set of classes that comprises the tree. CSS generator that generates a CSS line for the object tree.
A template window then pops up, where you fill in as much information as possible about the source, and give a unique name for it in the "Ref name" field. Click the "Insert" button, which will add the required wikitext in the edit window. If you wish, you can also "Preview" how your reference will look first.
Sass, Less Framework, Bootstrap (v3) Less (Leaner Style Sheets; sometimes stylized as LESS) is a dynamic preprocessor style sheet language that can be compiled into Cascading Style Sheets (CSS) and run on the client side or server side. [2] Designed by Alexis Sellier, Less is influenced by Sass and has influenced the newer "SCSS" syntax of Sass ...
Strength training can increase muscle, tendon, and ligament strength as well as bone density, metabolism, and the lactate threshold; improve joint and cardiac function; and reduce the risk of injury in athletes and the elderly. For many sports and physical activities, strength training is central or is used as part of their training regimen.
e. In statistics, Gibbs sampling or a Gibbs sampler is a Markov chain Monte Carlo (MCMC) algorithm for sampling from a specified multivariate probability distribution when direct sampling from the joint distribution is difficult, but sampling from the conditional distribution is more practical. This sequence can be used to approximate the joint ...
In statistics, path analysis is used to describe the directed dependencies among a set of variables. This includes models equivalent to any form of multiple regression analysis, factor analysis, canonical correlation analysis, discriminant analysis, as well as more general families of models in the multivariate analysis of variance and covariance analyses (MANOVA, ANOVA, ANCOVA).
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