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The term "ansible" was coined by Ursula K. Le Guin in her 1966 novel Rocannon's World, [4] and refers to fictional instantaneous communication systems.[5] [6]The Ansible tool was developed by Michael DeHaan, the author of the provisioning server application Cobbler and co-author of the Fedora Unified Network Controller (Func) framework for remote administration.
The term ansible refers to a category of fictional technological devices capable of superluminal or faster-than-light communication. These devices can instantaneously transmit and receive messages across obstacles and vast distances, including between star systems and even galaxies.
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.).
Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. [33] Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional ...
An ansible is a category of fictional devices or technology capable of near-instantaneous or faster-than-light communication. Ansible may also refer to: Ansible (software), open-source software provisioning, configuration management, and application-deployment tool; Ansible, a newsletter by David Langford
Python sets are very much like mathematical sets, and support operations like set intersection and union. Python also features a frozenset class for immutable sets, see Collection types. Dictionaries (class dict) are mutable mappings tying keys and corresponding values. Python has special syntax to create dictionaries ({key: value})
Variables that can store information formatted in a small number of built-in data types like integers and alphanumeric characters. This may include data structures like strings , lists , and hash tables that are either built-in or result from combining variables using memory pointers .
In Python, if a name is intended to be "private", it is prefixed by one or two underscores. Private variables are enforced in Python only by convention. Names can also be suffixed with an underscore to prevent conflict with Python keywords. Prefixing with double underscores changes behaviour in classes with regard to name mangling.