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Docstring documentation can also be accessed from the interpreter with the help() function, or from the shell with the pydoc command pydoc. The doctest standard module uses interactions copied from Python shell sessions into docstrings to create tests, whereas the docopt module uses them to define command-line options.
## Documentation of the module *ReSTructuredText* and **MarkDown** # This is a comment, but it is not a documentation comment. type Kitten = object ## Documentation of type age: int ## Documentation of field proc purr (self: Kitten) = ## Documentation of function echo "Purr Purr" # This is a comment, but it is not a documentation comment.
The common practice of documenting a code object at the head of its definition is captured by the addition of docstring syntax in the Python language. The docstring for a Python code object (a module, class, or function) is the first statement of that code object, immediately following the definition (the 'def' or 'class' statement).
The enclosed text becomes a string literal, which Python usually ignores (except when it is the first statement in the body of a module, class or function; see docstring).
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.
Support for #if/#ifdef control over documentation inclusion using the -D and -U command-line flags. Imagix 4D: customizable through style sheets and CSS linked hierarchy and dependency graphs for function calls, variable sets and reads, class inheritance and interface, and file includes and interface, intra-function flow charts
An alleged Chinese spy who forged a close relationship with Prince Andrew has been identified by a British court, the latest twist in a case that has shone a light on Beijing’s influence inside ...
Python 3.0, released in 2008, was a major revision not completely backward-compatible with earlier versions. Python 2.7.18, released in 2020, was the last release of Python 2. [37] Python consistently ranks as one of the most popular programming languages, and has gained widespread use in the machine learning community. [38] [39] [40] [41]