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reStructuredText (RST, ReST, or reST) is a file format for textual data used primarily in the Python programming language community for technical documentation.. It is part of the Docutils project of the Python Doc-SIG (Documentation Special Interest Group), aimed at creating a set of tools for Python similar to Javadoc for Java or Plain Old Documentation (POD) for Perl.
Sphinx converts reStructuredText files into HTML websites and other formats including PDF, EPub, Texinfo and man.. reStructuredText is extensible, and Sphinx exploits its extensible nature through a number of extensions – for autogenerating documentation from source code, writing mathematical notation or highlighting source code, etc.
Default PDF and file viewer for GNOME; replaces GPdf. Supports addition and removal (since v3.14), of basic text note annotations. CUPS: Apache License 2.0: No No No Yes Printing system can render any document to a PDF file, thus any Linux program with print capability can produce PDF files Pdftk: GPLv2: No Yes Yes
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However, some file signatures can be recognizable when interpreted as text. In the table below, the column "ISO 8859-1" shows how the file signature appears when interpreted as text in the common ISO 8859-1 encoding, with unprintable characters represented as the control code abbreviation or symbol, or codepage 1252 character where available ...
LOG – Text log file; LWP – Lotus Word Pro; MBP – metadata for Mobipocket documents; MD – Markdown text document; ME – Plain text document normally preceded by the word "READ" (READ.ME) MCW – Microsoft Word for Macintosh (versions 4.0–5.1) Mobi – Mobipocket documents; NB – Mathematica Notebook; NB – Nota Bene Document ...
HTML and XML provide ways to reference Unicode characters when the characters themselves either cannot or should not be used. A numeric character reference refers to a character by its Universal Character Set/Unicode code point, and a character entity reference refers to a character by a predefined name.
Text Python Any 2013 1.0.1 (2021) Unlicense (PD) perldoc: Larry Wall: Text Perl Any 1994 5.16.3 Artistic, GPL phpDocumentor: Joshua Eichorn Text PHP Any 2000 3.0.0 LGPL for 1.x, MIT for 2+ pydoc: Ka-Ping Yee [1] Text Python Any 2000 in Python core Python: RDoc: Dave Thomas Text C, C++, Ruby Any 2001/12/14 in Ruby core Ruby: ROBODoc: Frans ...