from griffe import Alias, Object, Docstring from quartodoc import get_object from plum import dispatch from typing import Union class SomeRenderer: def __init__(self, header_level: int = 1): self.header_level = header_level @dispatch def render(self, el): raise NotImplementedError(f"Unsupported type: {type(el)}") @dispatch def render(self, el: Union[Alias, Object]): header = "#" * self.header_level str_header = f"{header} {el.name}" str_params = f"N PARAMETERS: {len(el.parameters)}" str_sections = "SECTIONS: " + self.render(el.docstring) # return something pretty return "\n".join([str_header, str_params, str_sections]) @dispatch def render(self, el: Docstring): return f"A docstring with {len(el.parsed)} pieces" f_obj = get_object("quartodoc", "get_object") print(SomeRenderer(header_level=2).render(f_obj))

plugins: - mkdocstrings: handlers: python: options: docstring_options: ignore_init_summary: false trim_doctest_flags: true ... class PrintOK: """Class docstring.""" def __init__(self): """Initialize the instance. Examples: >>> PrintOK() # doctest: +NORMALIZE_WHITESPACE ok """ print("ok") ... Class docstring. ... Class docstring. Initialize the instance. ... The style used to render docstring sections.

Writing docstrings is covered in the Documentation style; this document explains how to check that docstrings render properly.

February 14, 2025 - See Python Docstrings. Learn about the different types of docstrings & various docstring formats like Sphinx, Numpy, and Pydoc with examples now.

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Tools like Sphinx will parse your docstrings as reStructuredText and render it correctly as HTML. This makes it very easy to embed snippets of example code in a project’s documentation. Additionally, Doctest will read all embedded docstrings that look like input from the Python commandline (prefixed with “>>>”) and run them, checking to see if the output of the command matches the text on the following line.

August 25, 2025 - It’s the default formatting style for inline documentation in Python, as outlined in PEP 287, and is used with tools like Sphinx to generate documentation. When you write docstrings in reST, you need to include specific elements such as parameter names, type names, return value descriptions, and return types. You can also add headers, lists, and links to improve the structure. While reST is slightly more technical than other formats, it offers precision and can render documentation into beautiful HTML or PDFs.

July 9, 2026 - Instead of rendering all your module information on the reference page, you can also render just the package docstring that you recorded in __init__.py by noting the name of your package as the identifier: ... This site contains the project documentation for the `calculator` project that is a toy module used in the Real Python tutorial [Build Your Python Project Documentation With MkDocs]( https://realpython.com/python-project-documentation-with-mkdocs/).

January 22, 2025 - Note that `mod.html()` is essentially a function that returns the raw HTML string after processing the module's docstrings. This is what is rendered using the `pdoc --html <filename.py>` command. In the code above, you retrieve it directly using your code and can manipulate it further anyway. ### Building a complete module You can use pdoc3 to build a complete module in one shot. For that, you just have to put the necessary files in the usual module/sub-module hierarchy like a standard Python package.

In the Python file, use the provided helper methods in fbgemm_gpu.docs.common to add attach a docstring to the target auto-generated method by method name.

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The value of a constant is rendered with syntax highlighting. See module demonstrating the constant values rendering. Following PEP8, any variable defined with all upper case name will be considered as a constant. Additionally, starting with Python 3.8, one can use the typing.Final qualifier to declare a constant.

August 2, 2024 - Google style docstrings follow a specific format and are inspired by Google's documentation style guide. They provide a structured way to document Python code, including parameters, return values, and descriptions.

Tools like Sphinx will parse your docstrings as reStructuredText and render it correctly as HTML.

Welcome to the Python Docstrings Tutorial – a comprehensive, example-driven guide to writing and using docstrings in Python.

Parameters ---------- values : iterable Python iterable whose values are summed. """ pass · We use reStructuredText to mark up and give contextual meaning to text in docstrings. ReStructuredText is lightweight enough to read in raw form, such as command line terminal printouts, but is also parsed and rendered ...

is rendered as a hyperlink to the documentation of the scrapy.settings.Settings class. See https://doc.scrapy.org/en/1.3/topics/api.html#scrapy.crawler.CrawlerRunner. Isn't this style of docstring supposed to be rendered at all?

Docstrings serve as convenient way of associating documentation with Python code. They are accessible through the __doc__ attribute of the respective Python objects they document. Below are the different ways to write docstrings − · Single-line docstrings are used for brief and simple documentation.

In this tutorial, we will learn about Python docstrings. More specifically, we will learn how and why docstrings are used with the help of examples.