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YAML (/ ˈ j æ m əl /, rhymes with camel [4]) was first proposed by Clark Evans in 2001, [15] who designed it together with Ingy döt Net [16] and Oren Ben-Kiki. [16]Originally YAML was said to mean Yet Another Markup Language, [17] because it was released in an era that saw a proliferation of markup languages for presentation and connectivity (HTML, XML, SGML, etc.).
YAML (Yet Another Multicolumn Layout) is a cross-browser CSS framework. [2] [3] It allows web designers to create a low-barrier website with comparatively little effort. Integrations of the YAML layouts have been created for various content management systems. These include WordPress, LifeType, TYPO3, Joomla, xt: Commerce and Drupal. [4]
Dbt uses YAML files to declare properties. seed is a type of reference table used in dbt for static or infrequently changed data, like for example country codes or lookup tables ), which are CSV based and typically stored in a seeds folder .
Travis CI is configured by adding a file named .travis.yml, which is a YAML format text file, to the root directory of the repository. [6] This file specifies the programming language used, the desired building and testing environment (including dependencies which must be installed before the software can be built and tested), and various other parameters.
The xOpera includes Opera orchestrator (Python library [11]), a lightweight, open-source and state-aware orchestrator based on Ansible and TOSCA Simple Profile in YAML v1.3. The project also includes a tool, called Template Library Publishing Service, [ 12 ] for publishing TOSCA components and templates.
A first version of the template engine was implemented with Ruby, running YAML template texts. The (preserved) main principles were: Logic-less: no explicit control flow statements, all control driven by data. Strong separation of concerns: logic from presentation: it is impossible to embed application logic in the templates.
Flow diagram. In computing, serialization (or serialisation, also referred to as pickling in Python) is the process of translating a data structure or object state into a format that can be stored (e.g. files in secondary storage devices, data buffers in primary storage devices) or transmitted (e.g. data streams over computer networks) and reconstructed later (possibly in a different computer ...
MessagePack is more compact than JSON, but imposes limitations on array and integer sizes.On the other hand, it allows binary data and non-UTF-8 encoded strings. In JSON, map keys have to be strings, but in MessagePack there is no such limitation and any type can be a map key, including types like maps and arrays, and, like YAML, numbers.