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FastAPI is a high-performance web framework for building HTTP-based service APIs in Python 3.8+. [3] It uses Pydantic and type hints to validate, serialize and deserialize data. FastAPI also automatically generates OpenAPI documentation for APIs built with it. [4] It was first released in 2018.
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PHP version: Supports PHP 4 and all PHP 5 thread-safe releases including 5.4. In older releases, the encoder will only work with PHP versions from the 4.x.x branch. eAccelerator will not work with any other versions of PHP. eAccelerator can only be used with the thread-safe version of PHP. Latest stable version: 0.9.6.1 (2010-05-31)
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. [19]
A version where MySQL has been replaced by PostgreSQL is called LAPP, or sometimes by keeping the original acronym, LAMP (Linux / Apache / Middleware (Perl, PHP, Python, Ruby) / PostgreSQL). [7] The LAMP bundle can be combined with many other free and open-source software packages, including: netsniff-ng for security testing and hardening
Code folding example on PHP code with Vim. Code or text folding, or less commonly holophrasting, [1] is a feature of some graphical user interfaces that allows the user to selectively hide ("fold") or display ("unfold") parts of a document. This allows the user to manage large amounts of text while viewing only those subsections that are ...
In PHP, here documents are referred to as heredocs. In PHP heredocs are not string literals. Heredoc text behaves just like a double-quoted string, but without the double quotes. For example, meaning `$` will be parsed as a variable start, and `${` or `{$` as a complex variable start.
Pseudo-relevant documents are used to find expansion candidate terms that co-occur with many query terms. [8] This idea was further developed within the relevance language model formalism in positional relevance [ 9 ] and proximity relevance models [ 10 ] which consider the distance to query terms in the pseudo-relevant documents.