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Hack is designed to interoperate seamlessly with PHP, which is a widely used open-source scripting language that has a focus on web development and can be embedded into HTML. A majority of valid PHP scripts are also valid in Hack; however, many less-often used PHP features and language constructs are unsupported in Hack. [8]
PHP has hundreds of base functions and thousands more from extensions. Prior to PHP version 5.3.0, functions are not first-class functions and can only be referenced by their name, whereas PHP 5.3.0 introduces closures. [35] User-defined functions can be created at any time and without being prototyped. [35]
Standard examples of data-driven languages are the text-processing languages sed and AWK, [1] and the document transformation language XSLT, where the data is a sequence of lines in an input stream – these are thus also known as line-oriented languages – and pattern matching is primarily done via regular expressions or line numbers.
As of 21 January 2025 (two months after PHP 8.4's release), PHP is used as the server-side programming language on 75.0% of websites where the language could be determined; PHP 7 is the most used version of the language with 47.1% of websites using PHP being on that version, while 40.6% use PHP 8, 12.2% use PHP 5 and 0.1% use PHP 4.
One thing the most visited websites have in common is that they are dynamic websites.Their development typically involves server-side coding, client-side coding and database technology.
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CakePHP ORM (object-relational mapping) is an advanced PHP hybrid of the active record pattern and the data mapper pattern, borrowing core concepts from both. The CakePHP ORM uses two primary object types, the table class representing database tables, and entity classes representing individual table rows. [11]
In computing, data-oriented design is a program optimization approach motivated by efficient usage of the CPU cache, often used in video game development. [1] The approach is to focus on the data layout, separating and sorting fields according to when they are needed, and to think about transformations of data.