##// END OF EJS Templates
Merge pull request #1490 from minrk/raw...
Merge pull request #1490 from minrk/raw rename plaintext cell -> raw cell Raw cells should be *untransformed* when writing various output formats, as the point of them is to let users pass through IPython to their rendered document format (rst, latex, etc.). This is different from what is the logical meaning of 'plaintext', which would suggest that the contents should be preserved as unformatted plaintext (e.g. in a `<pre>` tag, or literal block). In the UI, these cells will be displayed as 'Raw Text'. WARNING: any existing v3 notebooks which use plaintext cells, when read in by versions after this merge, will silently rename those cells to 'raw'. But if such a notebook is uploaded into a pre-merge IPython, cells labeled as 'raw' will simply *not be displayed*.

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release.py
141 lines | 4.9 KiB | text/x-python | PythonLexer
# -*- coding: utf-8 -*-
"""Release data for the IPython project."""
#-----------------------------------------------------------------------------
# Copyright (c) 2008-2011, IPython Development Team.
# Copyright (c) 2001-2007, Fernando Perez <fernando.perez@colorado.edu>
# Copyright (c) 2001, Janko Hauser <jhauser@zscout.de>
# Copyright (c) 2001, Nathaniel Gray <n8gray@caltech.edu>
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file COPYING.txt, distributed with this software.
#-----------------------------------------------------------------------------
# Name of the package for release purposes. This is the name which labels
# the tarballs and RPMs made by distutils, so it's best to lowercase it.
name = 'ipython'
# IPython version information. An empty _version_extra corresponds to a full
# release. 'dev' as a _version_extra string means this is a development
# version
_version_major = 0
_version_minor = 13
_version_micro = '' # use '' for first of series, number for 1 and above
_version_extra = 'dev'
#_version_extra = 'rc1'
#_version_extra = '' # Uncomment this for full releases
# Construct full version string from these.
_ver = [_version_major, _version_minor]
if _version_micro:
_ver.append(_version_micro)
if _version_extra:
_ver.append(_version_extra)
__version__ = '.'.join(map(str, _ver))
version = __version__ # backwards compatibility name
description = "IPython: Productive Interactive Computing"
long_description = \
"""
IPython provides a rich toolkit to help you make the most out of using Python
interactively. Its main components are:
* Powerful interactive Python shells (terminal- and Qt-based).
* Support for interactive data visualization and use of GUI toolkits.
* Flexible, embeddable interpreters to load into your own projects.
* Tools for high level and interactive parallel computing.
The enhanced interactive Python shells have the following main features:
* Comprehensive object introspection.
* Input history, persistent across sessions.
* Caching of output results during a session with automatically generated
references.
* Readline based name completion.
* Extensible system of 'magic' commands for controlling the environment and
performing many tasks related either to IPython or the operating system.
* Configuration system with easy switching between different setups (simpler
than changing $PYTHONSTARTUP environment variables every time).
* Session logging and reloading.
* Extensible syntax processing for special purpose situations.
* Access to the system shell with user-extensible alias system.
* Easily embeddable in other Python programs and wxPython GUIs.
* Integrated access to the pdb debugger and the Python profiler.
The parallel computing architecture has the following main features:
* Quickly parallelize Python code from an interactive Python/IPython session.
* A flexible and dynamic process model that be deployed on anything from
multicore workstations to supercomputers.
* An architecture that supports many different styles of parallelism, from
message passing to task farming.
* Both blocking and fully asynchronous interfaces.
* High level APIs that enable many things to be parallelized in a few lines
of code.
* Share live parallel jobs with other users securely.
* Dynamically load balanced task farming system.
* Robust error handling in parallel code.
The latest development version is always available from IPython's `GitHub
site <http://github.com/ipython>`_.
"""
license = 'BSD'
authors = {'Fernando' : ('Fernando Perez','fperez.net@gmail.com'),
'Janko' : ('Janko Hauser','jhauser@zscout.de'),
'Nathan' : ('Nathaniel Gray','n8gray@caltech.edu'),
'Ville' : ('Ville Vainio','vivainio@gmail.com'),
'Brian' : ('Brian E Granger', 'ellisonbg@gmail.com'),
'Min' : ('Min Ragan-Kelley', 'benjaminrk@gmail.com')
}
author = 'The IPython Development Team'
author_email = 'ipython-dev@scipy.org'
url = 'http://ipython.org'
# This will only be valid for actual releases sent to PyPI, but that's OK since
# those are the ones we want pip/easy_install to be able to find.
download_url = 'http://archive.ipython.org/release/%s' % version
platforms = ['Linux','Mac OSX','Windows XP/2000/NT']
keywords = ['Interactive','Interpreter','Shell','Parallel','Distributed']
classifiers = [
'Intended Audience :: Developers',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: BSD License',
'Programming Language :: Python',
'Programming Language :: Python :: 2',
'Programming Language :: Python :: 2.6',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.1',
'Programming Language :: Python :: 3.2',
'Topic :: System :: Distributed Computing',
'Topic :: System :: Shells'
]