# -*- coding: utf-8 -*- """Release data for the IPython project.""" #----------------------------------------------------------------------------- # Copyright (c) 2008, IPython Development Team. # Copyright (c) 2001, Fernando Perez # Copyright (c) 2001, Janko Hauser # Copyright (c) 2001, Nathaniel Gray # # 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 = 1 _version_minor = 0 _version_patch = 0 _version_extra = 'dev' #_version_extra = 'rc1' # _version_extra = '' # Uncomment this for full releases codename = 'An Afternoon Hack' # Construct full version string from these. _ver = [_version_major, _version_minor, _version_patch] __version__ = '.'.join(map(str, _ver)) if _version_extra: __version__ = __version__ + '-' + _version_extra version = __version__ # backwards compatibility name version_info = (_version_major, _version_minor, _version_patch, _version_extra) # Change this when incrementing the kernel protocol version kernel_protocol_version_info = (4, 0) 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). * A web-based interactive notebook environment with all shell features plus support for embedded figures, animations and rich media. * Support for interactive data visualization and use of GUI toolkits. * Flexible, embeddable interpreters to load into your own projects. * A high-performance library for high level and interactive parallel computing that works in multicore systems, clusters, supercomputing and cloud scenarios. 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. * Extensible tab completion, with support by default for completion of python variables and keywords, filenames and function keywords. * Extensible system of 'magic' commands for controlling the environment and performing many tasks related either to IPython or the operating system. * A rich 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 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 `_. """ 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'), 'Thomas' : ('Thomas A. Kluyver', 'takowl@gmail.com'), 'Jorgen' : ('Jorgen Stenarson', 'jorgen.stenarson@bostream.nu'), 'Matthias' : ('Matthias Bussonnier', 'bussonniermatthias@gmail.com'), } author = 'The IPython Development Team' author_email = 'ipython-dev@scipy.org' url = 'http://ipython.org' download_url = 'https://github.com/ipython/ipython/downloads' platforms = ['Linux','Mac OSX','Windows XP/Vista/7/8'] keywords = ['Interactive','Interpreter','Shell','Parallel','Distributed', 'Web-based computing', 'Qt console', 'Embedding'] 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 :: 3.2', 'Programming Language :: Python :: 3.3', 'Topic :: System :: Distributed Computing', 'Topic :: System :: Shells' ]