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PDF.js is a JavaScript library that renders Portable Document Format (PDF) files using the web standards-compliant HTML5 Canvas. The project is led by the Mozilla Corporation after Andreas Gal launched it (initially as an experiment) in 2011.
Download QR code; Print/export Download as PDF; Printable version; In other projects Wikidata item; Appearance. move to sidebar hide ... PDF.js; Socket.IO; Spry ...
This is an accepted version of this page This is the latest accepted revision, reviewed on 18 January 2025. High-level programming language Not to be confused with Java (programming language), Javanese script, or ECMAScript. JavaScript Screenshot of JavaScript source code Paradigm Multi-paradigm: event-driven, functional, imperative, procedural, object-oriented Designed by Brendan Eich of ...
With server-side rendering, static HTML can be sent from the server to the client, and client-side JavaScript then makes the web page dynamic by attaching event handlers to the HTML elements in a process called hydration. Examples of frameworks that support server-side rendering are Next.js, Nuxt.js, Angular, and React.
JSDoc differs from Javadoc, in that it is specialized to handle JavaScript's dynamic behaviour. [1] An early example using a Javadoc-like syntax to document JavaScript was released in 1999 with the Netscape/Mozilla project Rhino, a JavaScript run-time system written in Java. It included a toy "JSDoc" HTML generator, versioned up to 1.3, as an ...
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Several serialization formats have been built on or from the JSON specification. Examples include GeoJSON, a format designed for representing simple geographical features [65] [66] JSON-LD, a method of encoding linked data using JSON [67] [68] JSON-RPC, a remote procedure call protocol encoded in JSON [69]
Intrinsic functions are often used to explicitly implement vectorization and parallelization in languages which do not address such constructs. Some application programming interfaces (API), for example, AltiVec and OpenMP, use intrinsic functions to declare, respectively, vectorizable and multiprocessing-aware operations during compiling.