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Epydoc is a documentation generator that processes its own lightweight markup language Epytext for Python documentation strings. As opposed to freeform Python docstrings, reStructuredText (both also supported) and other markup languages for docstrings, Epytext supports linking between different pieces of documentation.
Like other documentation generators such as Javadoc, Doxygen extracts information from both the comment and the symbolic (non-comment) code. A comment is associated with a programming symbol by immediately preceding it in the code. Markup in the comments allows for controlling inclusion and formatting of the resulting documentation.
C/C++, C#, D, IDL, Fortran, Java, PHP, Python Any 1997/10/26 1.9.1 GPL Epydoc: Edward Loper Text Python Any 2002/01/— 3.0 (2008) MIT: fpdoc (Free Pascal Documentation Generator) Sebastian Guenther and Free Pascal Core Text (Object)Pascal/Delphi FPC tier 1 targets 2005 3.2.2 GPL reusable parts are GPL with static linking exception Haddock ...
Python supports normal floating point numbers, which are created when a dot is used in a literal (e.g. 1.1), when an integer and a floating point number are used in an expression, or as a result of some mathematical operations ("true division" via the / operator, or exponentiation with a negative exponent).
It is also used for the Blender user manual [10] and Python API documentation. [11] In 2010, Eric Holscher announced [12] the creation of the Read the Docs project as part of an effort to make maintenance of software documentation easier. Read the Docs automates the process of building and uploading Sphinx documentation after every commit.
Lingua Libre, a libre online tool allowing to record a large number of words and phrases in a short period (up to 1 000 words/hour with a clean word list and an experienced user). It automatizes the classic procedure for recording audio and video pronunciation files (for spoken and signed languages).
RDFLib is a Python library for working with RDF, [2] a simple yet powerful language for representing information. This library contains parsers/serializers for almost all of the known RDF serializations, such as RDF/XML, Turtle, N-Triples, & JSON-LD, many of which are now supported in their updated form (e.g. Turtle 1.1).
The main parts of the Jupyter Notebooks are: Metadata, Notebook format and list of cells. Metadata is a data Dictionary of definitions to set up and display the notebook. Notebook Format is a version number of the software. List of cells are different types of Cells for Markdown (display), Code (to execute), and output of the code type cells. [23]