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Most languages support multi-line block (a.k.a. stream) and/or single line comments. A block comment is delimited with text that marks the start and end of comment text. It can span multiple lines or occupy any part of a line. Some languages allow block comments to be recursively nested inside one another, but others do not.
The initial implementation of mod_python was a port to Apache HTTP server of a project called NSAPy. NSAPy was written by Aaron Watters for the Netscape Enterprise Server and was used as an example in a chapter of the book Internet Programming with Python written by Aaron Watters, Guido van Rossum, and James Ahlstrom. [1]
Project Jupyter's name is a reference to the three core programming languages supported by Jupyter, which are Julia, Python and R. Its name and logo are an homage to Galileo's discovery of the moons of Jupiter, as documented in notebooks attributed to Galileo. Jupyter is financially sponsored by NumFOCUS. [1]
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})
Block errors are most common in digital satellite television, where bad weather or motion of the satellite dish can cause interference outside the broadcaster's control. Block errors can occur at levels of interference where an analog transmission would be fuzzy but still viewable.
The Scunthorpe problem is the unintentional blocking of online content by a spam filter or search engine because their text contains a string (or substring) of letters that appear to have an obscene or otherwise unacceptable meaning. Names, abbreviations, and technical terms are most often cited as being affected by the issue.
Like most other configurable text editors, Atom enabled users to install third-party packages and themes to customize the features and looks of the editor.
The symbol grounding problem is a concept in the fields of artificial intelligence, cognitive science, philosophy of mind, and semantics.It addresses the challenge of connecting symbols, such as words or abstract representations, to the real-world objects or concepts they refer to.