blob: 9cc4eca1b451c60fa60bc74ace169b0a0a1cb387 [file] [log] [blame]
From: Kirill Simonov <xi@gamma.dn.ua>
To: python-list@python.org, python-announce@python.org, yaml-core@lists.sourceforge.net
Subject: [ANN] PyYAML-3.04: YAML parser and emitter for Python
========================
Announcing PyYAML-3.04
========================
A new release of PyYAML, featuring LibYAML bindings and support for recursive
structures, is now available:
http://pyyaml.org/wiki/PyYAML
Changes
=======
* Include experimental LibYAML bindings.
* Fully support recursive structures.
* Fix a number of bugs and annoyances.
Resources
=========
PyYAML homepage: http://pyyaml.org/wiki/PyYAML
PyYAML documentation: http://pyyaml.org/wiki/PyYAMLDocumentation
TAR.GZ package: http://pyyaml.org/download/pyyaml/PyYAML-3.04.tar.gz
ZIP package: http://pyyaml.org/download/pyyaml/PyYAML-3.04.zip
Windows installer: http://pyyaml.org/download/pyyaml/PyYAML-3.04.win32.exe
PyYAML SVN repository: http://svn.pyyaml.org/pyyaml
Submit a bug report: http://pyyaml.org/newticket?component=pyyaml
YAML homepage: http://yaml.org/
YAML-core mailing list: http://lists.sourceforge.net/lists/listinfo/yaml-core
About PyYAML
============
YAML is a data serialization format designed for human readability and
interaction with scripting languages. PyYAML is a YAML parser and
emitter for Python.
PyYAML features a complete YAML 1.1 parser, Unicode support, pickle
support, capable extension API, and sensible error messages. PyYAML
supports standard YAML tags and provides Python-specific tags that allow
to represent an arbitrary Python object.
PyYAML is applicable for a broad range of tasks from complex
configuration files to object serialization and persistance.
Example
=======
>>> import yaml
>>> print yaml.load("""
... --- &A
... direct self reference: *A
... indirect self references: [*A, *A, *A]
... """)
{'direct self reference': {...},
'indirect self references': [{...}, {...}, {...}]}
Copyright
=========
The PyYAML module is written by Kirill Simonov <xi@resolvent.net>.
PyYAML is released under the MIT license.