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# -*- coding: utf-8 -*-
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"""Release data for the IPython project."""
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#-----------------------------------------------------------------------------
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# Copyright (c) 2008, IPython Development Team.
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# Copyright (c) 2001, Fernando Perez <fernando.perez@colorado.edu>
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# Copyright (c) 2001, Janko Hauser <jhauser@zscout.de>
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# Copyright (c) 2001, Nathaniel Gray <n8gray@caltech.edu>
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#
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# Distributed under the terms of the Modified BSD License.
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#
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# The full license is in the file COPYING.txt, distributed with this software.
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#-----------------------------------------------------------------------------
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# Name of the package for release purposes. This is the name which labels
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# the tarballs and RPMs made by distutils, so it's best to lowercase it.
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name = 'ipython'
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# IPython version information. An empty _version_extra corresponds to a full
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# release. 'dev' as a _version_extra string means this is a development
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# version
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_version_major = 0
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_version_minor = 13
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_version_micro = 1 # use '' for first of series, number for 1 and above
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# _version_extra = 'dev'
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_version_extra = 'rc1'
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# _version_extra = '' # Uncomment this for full releases
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# Construct full version string from these.
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_ver = [_version_major, _version_minor]
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if _version_micro:
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_ver.append(_version_micro)
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if _version_extra:
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_ver.append(_version_extra)
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__version__ = '.'.join(map(str, _ver))
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version = __version__ # backwards compatibility name
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description = "IPython: Productive Interactive Computing"
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long_description = \
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"""
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IPython provides a rich toolkit to help you make the most out of using Python
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interactively. Its main components are:
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* Powerful interactive Python shells (terminal- and Qt-based).
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* A web-based interactive notebook environment with all shell features plus
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support for embedded figures, animations and rich media.
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* Support for interactive data visualization and use of GUI toolkits.
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* Flexible, embeddable interpreters to load into your own projects.
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* A high-performance library for high level and interactive parallel computing
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that works in multicore systems, clusters, supercomputing and cloud scenarios.
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The enhanced interactive Python shells have the following main features:
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* Comprehensive object introspection.
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* Input history, persistent across sessions.
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* Caching of output results during a session with automatically generated
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references.
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* Extensible tab completion, with support by default for completion of python
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variables and keywords, filenames and function keywords.
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* Extensible system of 'magic' commands for controlling the environment and
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performing many tasks related either to IPython or the operating system.
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* A rich configuration system with easy switching between different setups
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(simpler than changing $PYTHONSTARTUP environment variables every time).
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* Session logging and reloading.
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* Extensible syntax processing for special purpose situations.
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* Access to the system shell with user-extensible alias system.
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* Easily embeddable in other Python programs and GUIs.
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* Integrated access to the pdb debugger and the Python profiler.
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The parallel computing architecture has the following main features:
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* Quickly parallelize Python code from an interactive Python/IPython session.
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* A flexible and dynamic process model that be deployed on anything from
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multicore workstations to supercomputers.
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* An architecture that supports many different styles of parallelism, from
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message passing to task farming.
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* Both blocking and fully asynchronous interfaces.
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* High level APIs that enable many things to be parallelized in a few lines
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of code.
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* Share live parallel jobs with other users securely.
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* Dynamically load balanced task farming system.
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* Robust error handling in parallel code.
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The latest development version is always available from IPython's `GitHub
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site <http://github.com/ipython>`_.
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"""
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license = 'BSD'
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authors = {'Fernando' : ('Fernando Perez','fperez.net@gmail.com'),
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'Janko' : ('Janko Hauser','jhauser@zscout.de'),
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'Nathan' : ('Nathaniel Gray','n8gray@caltech.edu'),
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'Ville' : ('Ville Vainio','vivainio@gmail.com'),
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'Brian' : ('Brian E Granger', 'ellisonbg@gmail.com'),
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'Min' : ('Min Ragan-Kelley', 'benjaminrk@gmail.com'),
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'Thomas' : ('Thomas A. Kluyver', 'takowl@gmail.com'),
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'Jorgen' : ('Jorgen Stenarson', 'jorgen.stenarson@bostream.nu'),
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'Matthias' : ('Matthias Bussonnier', 'bussonniermatthias@gmail.com'),
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}
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author = 'The IPython Development Team'
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author_email = 'ipython-dev@scipy.org'
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url = 'http://ipython.org'
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download_url = 'https://github.com/ipython/ipython/downloads'
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platforms = ['Linux','Mac OSX','Windows XP/2000/NT/Vista/7']
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keywords = ['Interactive','Interpreter','Shell','Parallel','Distributed',
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'Web-based computing', 'Qt console', 'Embedding']
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classifiers = [
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'Intended Audience :: Developers',
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'Intended Audience :: Science/Research',
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'License :: OSI Approved :: BSD License',
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'Programming Language :: Python',
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'Programming Language :: Python :: 2',
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'Programming Language :: Python :: 2.6',
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'Programming Language :: Python :: 2.7',
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'Programming Language :: Python :: 3',
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'Programming Language :: Python :: 3.1',
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'Programming Language :: Python :: 3.2',
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'Topic :: System :: Distributed Computing',
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'Topic :: System :: Shells'
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]
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