Search results
Results from the WOW.Com Content Network
Prior to being established as a web standard, web frameworks were generally used to implement lazy loading. One of these is Angular.Since lazy loading decreases bandwidth and subsequently server resources, it is a strong contender to implement in a website, especially in order to improve user retention by having less delay when loading the page, which may also improve search engine ...
Using a factory method to create instances of a class (factory method pattern) Storing the instances in a map, and returning the same instance to each request for an instance with same parameters (multiton pattern) Using lazy initialization to instantiate the object the first time it is requested (lazy initialization pattern)
Angular (also referred to as Angular 2+) [4] is a TypeScript-based free and open-source single-page web application framework. It is developed by Google and by a community of individuals and corporations. Angular is a complete rewrite from the same team that built AngularJS.
This is traditionally difficult, because the rendering code might need to be written in a different language or framework on the server and in the client. Using logic-less templates, cross-compiling from one language to another, or using the same language on the server and the client may help to increase the amount of code that can be shared.
In programming language theory, lazy evaluation, or call-by-need, [1] is an evaluation strategy which delays the evaluation of an expression until its value is needed (non-strict evaluation) and which avoids repeated evaluations (by the use of sharing). [2] [3] The benefits of lazy evaluation include:
Download data is sent downstream to an end-user, upstream from the provider. ISP = internet service provider. Downloading generally transfers entire files for local storage and later use, as contrasted with streaming, where the data is used nearly immediately while the transmission is still in progress and may not be stored long-term.
Dynamic loading is a mechanism by which a computer program can, at run time, load a library (or other binary) into memory, retrieve the addresses of functions and variables contained in the library, execute those functions or access those variables, and unload the library from memory.
Lazy learning methods are usually slower to evaluate. In practice, for very large databases with high concurrency loads, the queries are not postponed until actual query time, but recomputed in advance on a periodic basis - e.g., nightly, in anticipation of future queries, and the answers stored.