python-peps/peps/pep-0287.rst

PEP: 287
Title: reStructuredText Docstring Format
Version: $Revision$
Last-Modified: $Date$
Author: David Goodger <goodger@python.org>
Discussions-To: doc-sig@python.org
Status: Active
Type: Informational
Content-Type: text/x-rst
Created: 25-Mar-2002
Post-History: 02-Apr-2002
Replaces: 216


Abstract
========

When plaintext hasn't been expressive enough for inline documentation,
Python programmers have sought out a format for docstrings.  This PEP
proposes that the `reStructuredText markup`_ be adopted as a standard
markup format for structured plaintext documentation in Python
docstrings, and for PEPs and ancillary documents as well.
reStructuredText is a rich and extensible yet easy-to-read,
what-you-see-is-what-you-get plaintext markup syntax.

Only the low-level syntax of docstrings is addressed here.  This PEP
is not concerned with docstring semantics or processing at all (see
:pep:`256` for a "Road Map to the Docstring PEPs").  Nor is it an attempt
to deprecate pure plaintext docstrings, which are always going to be
legitimate.  The reStructuredText markup is an alternative for those
who want more expressive docstrings.


Benefits
========

Programmers are by nature a lazy breed.  We reuse code with functions,
classes, modules, and subsystems.  Through its docstring syntax,
Python allows us to document our code from within.  The "holy grail"
of the Python Documentation Special Interest Group (Doc-SIG_) has been
a markup syntax and toolset to allow auto-documentation, where the
docstrings of Python systems can be extracted in context and processed
into useful, high-quality documentation for multiple purposes.

Document markup languages have three groups of customers: the authors
who write the documents, the software systems that process the data,
and the readers, who are the final consumers and the most important
group.  Most markups are designed for the authors and software
systems; readers are only meant to see the processed form, either on
paper or via browser software.  ReStructuredText is different: it is
intended to be easily readable in source form, without prior knowledge
of the markup.  ReStructuredText is entirely readable in plaintext
format, and many of the markup forms match common usage (e.g.,
``*emphasis*``), so it reads quite naturally.  Yet it is rich enough
to produce complex documents, and extensible so that there are few
limits.  Of course, to write reStructuredText documents some prior
knowledge is required.

The markup offers functionality and expressivity, while maintaining
easy readability in the source text.  The processed form (HTML etc.)
makes it all accessible to readers: inline live hyperlinks; live links
to and from footnotes; automatic tables of contents (with live
links!); tables; images for diagrams etc.; pleasant, readable styled
text.

The reStructuredText parser is available now, part of the Docutils_
project.  Standalone reStructuredText documents and PEPs can be
converted to HTML; other output format writers are being worked on and
will become available over time.  Work is progressing on a Python
source "Reader" which will implement auto-documentation from
docstrings.  Authors of existing auto-documentation tools are
encouraged to integrate the reStructuredText parser into their
projects, or better yet, to join forces to produce a world-class
toolset for the Python standard library.

Tools will become available in the near future, which will allow
programmers to generate HTML for online help, XML for multiple
purposes, and eventually PDF, DocBook, and LaTeX for printed
documentation, essentially "for free" from the existing docstrings.
The adoption of a standard will, at the very least, benefit docstring
processing tools by preventing further "reinventing the wheel".

Eventually PyDoc, the one existing standard auto-documentation tool,
could have reStructuredText support added.  In the interim it will
have no problem with reStructuredText markup, since it treats all
docstrings as preformatted plaintext.


Goals
=====

These are the generally accepted goals for a docstring format, as
discussed in the Doc-SIG:

1. It must be readable in source form by the casual observer.

2. It must be easy to type with any standard text editor.

3. It must not need to contain information which can be deduced from
   parsing the module.

4. It must contain sufficient information (structure) so it can be
   converted to any reasonable markup format.

5. It must be possible to write a module's entire documentation in
   docstrings, without feeling hampered by the markup language.

reStructuredText meets and exceeds all of these goals, and sets its
own goals as well, even more stringent.  See `Docstring-Significant
Features`_ below.

The goals of this PEP are as follows:

1. To establish reStructuredText as a standard structured plaintext
   format for docstrings (inline documentation of Python modules and
   packages), PEPs, README-type files and other standalone documents.
   "Accepted" status will be sought through Python community consensus
   and eventual BDFL pronouncement.

   Please note that reStructuredText is being proposed as *a*
   standard, not *the only* standard.  Its use will be entirely
   optional.  Those who don't want to use it need not.

2. To solicit and address any related concerns raised by the Python
   community.

3. To encourage community support.  As long as multiple competing
   markups are out there, the development community remains fractured.
   Once a standard exists, people will start to use it, and momentum
   will inevitably gather.

4. To consolidate efforts from related auto-documentation projects.
   It is hoped that interested developers will join forces and work on
   a joint/merged/common implementation.

Once reStructuredText is a Python standard, effort can be focused on
tools instead of arguing for a standard.  Python needs a standard set
of documentation tools.

With regard to PEPs, one or both of the following strategies may be
applied:

a) Keep the existing PEP section structure constructs (one-line
   section headers, indented body text).  Subsections can either be
   forbidden, or supported with reStructuredText-style underlined
   headers in the indented body text.

b) Replace the PEP section structure constructs with the
   reStructuredText syntax.  Section headers will require underlines,
   subsections will be supported out of the box, and body text need
   not be indented (except for block quotes).

Strategy (b) is recommended, and its implementation is complete.

Support for :rfc:`2822` headers has been added to the reStructuredText
parser for PEPs (unambiguous given a specific context: the first
contiguous block of the document).  It may be desired to concretely
specify what over/underline styles are allowed for PEP section
headers, for uniformity.


Rationale
=========

The lack of a standard syntax for docstrings has hampered the
development of standard tools for extracting and converting docstrings
into documentation in standard formats (e.g., HTML, DocBook, TeX).
There have been a number of proposed markup formats and variations,
and many tools tied to these proposals, but without a standard
docstring format they have failed to gain a strong following and/or
floundered half-finished.

Throughout the existence of the Doc-SIG, consensus on a single
standard docstring format has never been reached.  A lightweight,
implicit markup has been sought, for the following reasons (among
others):

1. Docstrings written within Python code are available from within the
   interactive interpreter, and can be "print"ed.  Thus the use of
   plaintext for easy readability.

2. Programmers want to add structure to their docstrings, without
   sacrificing raw docstring readability.  Unadorned plaintext cannot
   be transformed ("up-translated") into useful structured formats.

3. Explicit markup (like XML or TeX) is widely considered unreadable
   by the uninitiated.

4. Implicit markup is aesthetically compatible with the clean and
   minimalist Python syntax.

Many alternative markups for docstrings have been proposed on the
Doc-SIG over the years; a representative sample is listed below.  Each
is briefly analyzed in terms of the goals stated above.  Please note
that this is *not* intended to be an exclusive list of all existing
markup systems; there are many other markups (Texinfo, Doxygen, TIM,
YODL, AFT, ...) which are not mentioned.

- XML_, SGML_, DocBook_, HTML_, XHTML_

  XML and SGML are explicit, well-formed meta-languages suitable for
  all kinds of documentation.  XML is a variant of SGML.  They are
  best used behind the scenes, because to untrained eyes they are
  verbose, difficult to type, and too cluttered to read comfortably as
  source.  DocBook, HTML, and XHTML are all applications of SGML
  and/or XML, and all share the same basic syntax and the same
  shortcomings.

- TeX_

  TeX is similar to XML/SGML in that it's explicit, but not very easy
  to write, and not easy for the uninitiated to read.

- `Perl POD`_

  Most Perl modules are documented in a format called POD (Plain Old
  Documentation).  This is an easy-to-type, very low level format with
  strong integration with the Perl parser.  Many tools exist to turn
  POD documentation into other formats: info, HTML and man pages,
  among others.  However, the POD syntax takes after Perl itself in
  terms of readability.

- JavaDoc_

  Special comments before Java classes and functions serve to document
  the code.  A program to extract these, and turn them into HTML
  documentation is called javadoc, and is part of the standard Java
  distribution.  However, JavaDoc has a very intimate relationship
  with HTML, using HTML tags for most markup.  Thus it shares the
  readability problems of HTML.

- Setext_, StructuredText_

  Early on, variants of Setext (Structure Enhanced Text), including
  Zope Corp's StructuredText, were proposed for Python docstring
  formatting.  Hereafter these variants will collectively be called
  "STexts".  STexts have the advantage of being easy to read without
  special knowledge, and relatively easy to write.

  Although used by some (including in most existing Python
  auto-documentation tools), until now STexts have failed to become
  standard because:

  - STexts have been incomplete.  Lacking "essential" constructs that
    people want to use in their docstrings, STexts are rendered less
    than ideal.  Note that these "essential" constructs are not
    universal; everyone has their own requirements.

  - STexts have been sometimes surprising.  Bits of text are
    unexpectedly interpreted as being marked up, leading to user
    frustration.

  - SText implementations have been buggy.

  - Most STexts have no formal specification except for the
    implementation itself.  A buggy implementation meant a buggy spec,
    and vice-versa.

  - There has been no mechanism to get around the SText markup rules
    when a markup character is used in a non-markup context.  In other
    words, no way to escape markup.

Proponents of implicit STexts have vigorously opposed proposals for
explicit markup (XML, HTML, TeX, POD, etc.), and the debates have
continued off and on since 1996 or earlier.

reStructuredText is a complete revision and reinterpretation of the
SText idea, addressing all of the problems listed above.


Specification
=============

The specification and user documentation for reStructuredText is
quite extensive.  Rather than repeating or summarizing it all
here, links to the originals are provided.

Please first take a look at `A ReStructuredText Primer`_, a short and
gentle introduction.  The `Quick reStructuredText`_ user reference
quickly summarizes all of the markup constructs.  For complete and
extensive details, please refer to the following documents:

- `An Introduction to reStructuredText`_

- `reStructuredText Markup Specification`_

- `reStructuredText Directives`_

In addition, `Problems With StructuredText`_ explains many markup
decisions made with regards to StructuredText, and `A Record of
reStructuredText Syntax Alternatives`_ records markup decisions made
independently.


Docstring-Significant Features
==============================

- A markup escaping mechanism.

  Backslashes (``\``) are used to escape markup characters when needed
  for non-markup purposes.  However, the inline markup recognition
  rules have been constructed in order to minimize the need for
  backslash-escapes.  For example, although asterisks are used for
  *emphasis*, in non-markup contexts such as "*" or "(*)" or "x * y",
  the asterisks are not interpreted as markup and are left unchanged.
  For many non-markup uses of backslashes (e.g., describing regular
  expressions), inline literals or literal blocks are applicable; see
  the next item.

- Markup to include Python source code and Python interactive
  sessions: inline literals, literal blocks, and doctest blocks.

  Inline literals use ``double-backquotes`` to indicate program I/O or
  code snippets.  No markup interpretation (including backslash-escape
  [``\``] interpretation) is done within inline literals.

  Literal blocks (block-level literal text, such as code excerpts or
  ASCII graphics) are indented, and indicated with a double-colon
  ("::") at the end of the preceding paragraph (right here -->)::

      if literal_block:
          text = 'is left as-is'
          spaces_and_linebreaks = 'are preserved'
          markup_processing = None

  Doctest blocks begin with ">>> " and end with a blank line.  Neither
  indentation nor literal block double-colons are required.  For
  example::

      Here's a doctest block:

      >>> print 'Python-specific usage examples; begun with ">>>"'
      Python-specific usage examples; begun with ">>>"
      >>> print '(cut and pasted from interactive sessions)'
      (cut and pasted from interactive sessions)

- Markup that isolates a Python identifier: interpreted text.

  Text enclosed in single backquotes is recognized as "interpreted
  text", whose interpretation is application-dependent.  In the
  context of a Python docstring, the default interpretation of
  interpreted text is as Python identifiers.  The text will be marked
  up with a hyperlink connected to the documentation for the
  identifier given.  Lookup rules are the same as in Python itself:
  LGB namespace lookups (local, global, builtin).  The "role" of the
  interpreted text (identifying a class, module, function, etc.) is
  determined implicitly from the namespace lookup.  For example::

      class Keeper(Storer):

          """
          Keep data fresher longer.

          Extend `Storer`.  Class attribute `instances` keeps track
          of the number of `Keeper` objects instantiated.
          """

          instances = 0
          """How many `Keeper` objects are there?"""

          def __init__(self):
              """
              Extend `Storer.__init__()` to keep track of
              instances.  Keep count in `self.instances` and data
              in `self.data`.
              """
              Storer.__init__(self)
              self.instances += 1

              self.data = []
              """Store data in a list, most recent last."""

          def storedata(self, data):
              """
              Extend `Storer.storedata()`; append new `data` to a
              list (in `self.data`).
              """
              self.data = data

  Each piece of interpreted text is looked up according to the local
  namespace of the block containing its docstring.

- Markup that isolates a Python identifier and specifies its type:
  interpreted text with roles.

  Although the Python source context reader is designed not to require
  explicit roles, they may be used.  To classify identifiers
  explicitly, the role is given along with the identifier in either
  prefix or suffix form::

      Use :method:`Keeper.storedata` to store the object's data in
      `Keeper.data`:instance_attribute:.

  The syntax chosen for roles is verbose, but necessarily so (if
  anyone has a better alternative, please post it to the Doc-SIG_).
  The intention of the markup is that there should be little need to
  use explicit roles; their use is to be kept to an absolute minimum.

- Markup for "tagged lists" or "label lists": field lists.

  Field lists represent a mapping from field name to field body.
  These are mostly used for extension syntax, such as "bibliographic
  field lists" (representing document metadata such as author, date,
  and version) and extension attributes for directives (see below).
  They may be used to implement methodologies (docstring semantics),
  such as identifying parameters, exceptions raised, etc.; such usage
  is beyond the scope of this PEP.

  A modified :rfc:`2822` syntax is used, with a colon *before* as well as
  *after* the field name.  Field bodies are more versatile as well;
  they may contain multiple field bodies (even nested field lists).
  For example::

      :Date: 2002-03-22
      :Version: 1
      :Authors:
          - Me
          - Myself
          - I

  Standard :rfc:`2822` header syntax cannot be used for this construct
  because it is ambiguous.  A word followed by a colon at the
  beginning of a line is common in written text.

- Markup extensibility: directives and substitutions.

  Directives are used as an extension mechanism for reStructuredText,
  a way of adding support for new block-level constructs without
  adding new syntax.  Directives for images, admonitions (note,
  caution, etc.), and tables of contents generation (among others)
  have been implemented.  For example, here's how to place an image::

      .. image:: mylogo.png

  Substitution definitions allow the power and flexibility of
  block-level directives to be shared by inline text.  For example::

      The |biohazard| symbol must be used on containers used to
      dispose of medical waste.

      .. |biohazard| image:: biohazard.png

- Section structure markup.

  Section headers in reStructuredText use adornment via underlines
  (and possibly overlines) rather than indentation.  For example::

      This is a Section Title
      =======================

      This is a Subsection Title
      --------------------------

      This paragraph is in the subsection.

      This is Another Section Title
      =============================

      This paragraph is in the second section.


Questions & Answers
===================

1. Is reStructuredText rich enough?

   Yes, it is for most people.  If it lacks some construct that is
   required for a specific application, it can be added via the
   directive mechanism.  If a useful and common construct has been
   overlooked and a suitably readable syntax can be found, it can be
   added to the specification and parser.

2. Is reStructuredText *too* rich?

   For specific applications or individuals, perhaps.  In general, no.

   Since the very beginning, whenever a docstring markup syntax has
   been proposed on the Doc-SIG_, someone has complained about the
   lack of support for some construct or other.  The reply was often
   something like, "These are docstrings we're talking about, and
   docstrings shouldn't have complex markup."  The problem is that a
   construct that seems superfluous to one person may be absolutely
   essential to another.

   reStructuredText takes the opposite approach: it provides a rich
   set of implicit markup constructs (plus a generic extension
   mechanism for explicit markup), allowing for all kinds of
   documents.  If the set of constructs is too rich for a particular
   application, the unused constructs can either be removed from the
   parser (via application-specific overrides) or simply omitted by
   convention.

3. Why not use indentation for section structure, like StructuredText
   does?  Isn't it more "Pythonic"?

   Guido van Rossum wrote the following in a 2001-06-13 Doc-SIG post:

       I still think that using indentation to indicate sectioning is
       wrong.  If you look at how real books and other print
       publications are laid out, you'll notice that indentation is
       used frequently, but mostly at the intra-section level.
       Indentation can be used to offset lists, tables, quotations,
       examples, and the like.  (The argument that docstrings are
       different because they are input for a text formatter is wrong:
       the whole point is that they are also readable without
       processing.)

       I reject the argument that using indentation is Pythonic: text
       is not code, and different traditions and conventions hold.
       People have been presenting text for readability for over 30
       centuries.  Let's not innovate needlessly.

   See `Section Structure via Indentation`__ in `Problems With
   StructuredText`_ for further elaboration.

   __ http://docutils.sourceforge.net/docs/dev/rst/problems.html
      #section-structure-via-indentation

4. Why use reStructuredText for PEPs?  What's wrong with the existing
   standard?

   The existing standard for PEPs is very limited in terms of general
   expressibility, and referencing is especially lacking for such a
   reference-rich document type.  PEPs are currently converted into
   HTML, but the results (mostly monospaced text) are less than
   attractive, and most of the value-added potential of HTML
   (especially inline hyperlinks) is untapped.

   Making reStructuredText a standard markup for PEPs will enable much
   richer expression, including support for section structure, inline
   markup, graphics, and tables.  In several PEPs there are ASCII
   graphics diagrams, which are all that plaintext documents can
   support.  Since PEPs are made available in HTML form, the ability
   to include proper diagrams would be immediately useful.

   Current PEP practices allow for reference markers in the form "[1]"
   in the text, and the footnotes/references themselves are listed in
   a section toward the end of the document.  There is currently no
   hyperlinking between the reference marker and the
   footnote/reference itself (it would be possible to add this to
   pep2html.py, but the "markup" as it stands is ambiguous and
   mistakes would be inevitable).  A PEP with many references (such as
   this one ;-) requires a lot of flipping back and forth.  When
   revising a PEP, often new references are added or unused references
   deleted.  It is painful to renumber the references, since it has to
   be done in two places and can have a cascading effect (insert a
   single new reference 1, and every other reference has to be
   renumbered; always adding new references to the end is suboptimal).
   It is easy for references to go out of sync.

   PEPs use references for two purposes: simple URL references and
   footnotes.  reStructuredText differentiates between the two.  A PEP
   might contain references like this::

       Abstract

           This PEP proposes adding frungible doodads [1] to the core.
           It extends PEP 9876 [2] via the BCA [3] mechanism.

       ...

       References and Footnotes

           [1] http://www.example.org/

           [2] PEP 9876, Let's Hope We Never Get Here
               http://peps.python.org/pep-9876/

           [3] "Bogus Complexity Addition"

   Reference 1 is a simple URL reference.  Reference 2 is a footnote
   containing text and a URL.  Reference 3 is a footnote containing
   text only.  Rewritten using reStructuredText, this PEP could look
   like this::

       Abstract
       ========

       This PEP proposes adding `frungible doodads`_ to the core.  It
       extends PEP 9876 [#pep9876]_ via the BCA [#]_ mechanism.

       ...

       References & Footnotes
       ======================

       .. _frungible doodads: http://www.example.org/

       .. [#pep9876] PEP 9876, Let's Hope We Never Get Here

       .. [#] "Bogus Complexity Addition"

   URLs and footnotes can be defined close to their references if
   desired, making them easier to read in the source text, and making
   the PEPs easier to revise.  The "References and Footnotes" section
   can be auto-generated with a document tree transform.  Footnotes
   from throughout the PEP would be gathered and displayed under a
   standard header.  If URL references should likewise be written out
   explicitly (in citation form), another tree transform could be
   used.

   URL references can be named ("frungible doodads"), and can be
   referenced from multiple places in the document without additional
   definitions.  When converted to HTML, references will be replaced
   with inline hyperlinks (HTML <a> tags).  The two footnotes are
   automatically numbered, so they will always stay in sync.  The
   first footnote also contains an internal reference name, "pep9876",
   so it's easier to see the connection between reference and footnote
   in the source text.  Named footnotes can be referenced multiple
   times, maintaining consistent numbering.

   The "#pep9876" footnote could also be written in the form of a
   citation::

       It extends PEP 9876 [PEP9876]_ ...

       .. [PEP9876] PEP 9876, Let's Hope We Never Get Here

   Footnotes are numbered, whereas citations use text for their
   references.

5. Wouldn't it be better to keep the docstring and PEP proposals
   separate?

   The PEP markup proposal may be removed if it is deemed that there
   is no need for PEP markup, or it could be made into a separate PEP.
   If accepted, :pep:`1`, PEP Purpose and Guidelines, and :pep:`9`,
   Sample PEP Template will be updated.

   It seems natural to adopt a single consistent markup standard for
   all uses of structured plaintext in Python, and to propose it all
   in one place.

6. The existing pep2html.py script converts the existing PEP format to
   HTML.  How will the new-format PEPs be converted to HTML?

   A new version of pep2html.py with integrated reStructuredText
   parsing has been completed.  The Docutils project supports PEPs
   with a "PEP Reader" component, including all functionality
   currently in pep2html.py (auto-recognition of PEP & RFC references,
   email masking, etc.).

7. Who's going to convert the existing PEPs to reStructuredText?

   PEP authors or volunteers may convert existing PEPs if they like,
   but there is no requirement to do so.  The reStructuredText-based
   PEPs will coexist with the old PEP standard.  The pep2html.py
   mentioned in answer 6 processes both old and new standards.

8. Why use reStructuredText for README and other ancillary files?

   The reasoning given for PEPs in answer 4 above also applies to
   README and other ancillary files.  By adopting a standard markup,
   these files can be converted to attractive cross-referenced HTML
   and put up on python.org.  Developers of other projects can also
   take advantage of this facility for their own documentation.

9. Won't the superficial similarity to existing markup conventions
   cause problems, and result in people writing invalid markup (and
   not noticing, because the plaintext looks natural)?  How forgiving
   is reStructuredText of "not quite right" markup?

   There will be some mis-steps, as there would be when moving from
   one programming language to another.  As with any language,
   proficiency grows with experience.  Luckily, reStructuredText is a
   very little language indeed.

   As with any syntax, there is the possibility of syntax errors.  It
   is expected that a user will run the processing system over their
   input and check the output for correctness.

   In a strict sense, the reStructuredText parser is very unforgiving
   (as it should be; :pep:`"In the face of ambiguity, refuse the temptation
   to guess" <20>` applies to parsing markup as well as computer
   languages).  Here's design goal 3 from `An Introduction to
   reStructuredText`_:

       Unambiguous.  The rules for markup must not be open for
       interpretation.  For any given input, there should be one and
       only one possible output (including error output).

   While unforgiving, at the same time the parser does try to be
   helpful by producing useful diagnostic output ("system messages").
   The parser reports problems, indicating their level of severity
   (from least to most: debug, info, warning, error, severe).  The
   user or the client software can decide on reporting thresholds;
   they can ignore low-level problems or cause high-level problems to
   bring processing to an immediate halt.  Problems are reported
   during the parse as well as included in the output, often with
   two-way links between the source of the problem and the system
   message explaining it.

10. Will the docstrings in the Python standard library modules be
    converted to reStructuredText?

    No.  Python's library reference documentation is maintained
    separately from the source.  Docstrings in the Python standard
    library should not try to duplicate the library reference
    documentation.  The current policy for docstrings in the Python
    standard library is that they should be no more than concise
    hints, simple and markup-free (although many *do* contain ad-hoc
    implicit markup).

11. I want to write all my strings in Unicode.  Will anything
    break?

    The parser fully supports Unicode.  Docutils supports arbitrary
    input and output encodings.

12. Why does the community need a new structured text design?

    The existing structured text designs are deficient, for the
    reasons given in "Rationale" above.  reStructuredText aims to be a
    complete markup syntax, within the limitations of the "readable
    plaintext" medium.

13. What is wrong with existing documentation methodologies?

    What existing methodologies?  For Python docstrings, there is
    **no** official standard markup format, let alone a documentation
    methodology akin to JavaDoc.  The question of methodology is at a
    much higher level than syntax (which this PEP addresses).  It is
    potentially much more controversial and difficult to resolve, and
    is intentionally left out of this discussion.


References & Footnotes
======================

.. _reStructuredText markup: http://docutils.sourceforge.net/rst.html

.. _Doc-SIG: http://www.python.org/sigs/doc-sig/

.. _XML: http://www.w3.org/XML/

.. _SGML: http://www.oasis-open.org/cover/general.html

.. _DocBook: http://docbook.org/tdg/en/html/docbook.html

.. _HTML: http://www.w3.org/MarkUp/

.. _XHTML: http://www.w3.org/MarkUp/#xhtml1

.. _TeX: http://www.tug.org/interest.html

.. _Perl POD: http://perldoc.perl.org/perlpod.html

.. _JavaDoc: http://java.sun.com/j2se/javadoc/

.. _Setext: http://docutils.sourceforge.net/mirror/setext.html

.. _StructuredText:
   http://www.zope.org/DevHome/Members/jim/StructuredTextWiki/FrontPage

.. _A ReStructuredText Primer:
   http://docutils.sourceforge.net/docs/user/rst/quickstart.html

.. _Quick reStructuredText:
   http://docutils.sourceforge.net/docs/user/rst/quickref.html

.. _An Introduction to reStructuredText:
   http://docutils.sourceforge.net/docs/ref/rst/introduction.html

.. _reStructuredText Markup Specification:
   http://docutils.sourceforge.net/docs/ref/rst/restructuredtext.html

.. _reStructuredText Directives:
   http://docutils.sourceforge.net/docs/ref/rst/directives.html

.. _Problems with StructuredText:
   http://docutils.sourceforge.net/docs/dev/rst/problems.html

.. _A Record of reStructuredText Syntax Alternatives:
   http://docutils.sourceforge.net/docs/dev/rst/alternatives.html

.. _Docutils: http://docutils.sourceforge.net/


Copyright
=========

This document has been placed in the public domain.


Acknowledgements
================

Some text is borrowed from :pep:`216`, Docstring Format, by
Moshe Zadka.

Special thanks to all members past & present of the Python Doc-SIG_.



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