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XSL-FO (XSL Formatting Objects) is a markup language for XML document formatting that is most often used to generate PDF files. XSL-FO is part of XSL (Extensible Stylesheet Language), a set of W3C technologies designed for the transformation and formatting of XML data.
CACHE MANIFEST /test.css /test.js /test.png This manifest file lists three resources: a CSS file, a JavaScript file and a PNG image. When the above file is loaded, the browser will download the test.css, test.js and test.png files from the root directory in the web server. [7]
XHTML 1.0 was "a reformulation of the three HTML 4 document types as applications of XML 1.0". [7] The World Wide Web Consortium (W3C) also simultaneously maintained the HTML 4.01 Recommendation.
One modern style sheet language with widespread use is Cascading Style Sheets (CSS), which is used to style documents written in HTML, XHTML, SVG, XUL, and other markup languages. For content in structured documents to be presented, a set of stylistic rules – describing, for example, colors, fonts and layout – must be applied.
The CSS term font family is matched with the typographical term typeface, which is a grouping of fonts defined by shared design styles. A font is a particular set of glyphs (character shapes), differentiated from other fonts in the same family by additional properties such as stroke weight, slant, relative width, etc.
Partial implementation of Webkit-Text-Stroke and CSS outline-offset Ability to use Snooze to put a website in a Cortana Reminder to make it show up in the Action Center Ability to import and export favorites from and to a file
C# (/ ˌ s iː ˈ ʃ ɑːr p / see SHARP) [b] is a general-purpose high-level programming language supporting multiple paradigms.C# encompasses static typing, [16]: 4 strong typing, lexically scoped, imperative, declarative, functional, generic, [16]: 22 object-oriented (class-based), and component-oriented programming disciplines.
Bayesian inference (/ ˈ b eɪ z i ə n / BAY-zee-ən or / ˈ b eɪ ʒ ən / BAY-zhən) [1] is a method of statistical inference in which Bayes' theorem is used to update the probability for a hypothesis as more evidence or information becomes available.