Update long description for PyPI

Remove references to notebooks, Qt console, parallel computing, and
mention that it now provides a Jupyter kernel for Python.

Closes gh-8628

IPython/core/release.py

@@ -1,150 +1,125 b''
 # -*- coding: utf-8 -*-
 """Release data for the IPython project."""
 
 #-----------------------------------------------------------------------------
 #  Copyright (c) 2008, IPython Development Team.
 #  Copyright (c) 2001, Fernando Perez <[e-mail]>
 #  Copyright (c) 2001, Janko Hauser <[e-mail]>
 #  Copyright (c) 2001, Nathaniel Gray <[e-mail]>
 #
 #  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 = 4
 _version_minor = 0
 _version_patch = 0
 _version_extra = 'dev'
 # _version_extra = 'rc1'
 # _version_extra = ''  # Uncomment this for full releases
 
 # release.codename is deprecated in 2.0, will be removed in 3.0
 codename = ''
 
 # 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 = (5, 0)
 kernel_protocol_version = "%i.%i" % kernel_protocol_version_info
 
 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.
+* A powerful interactive Python shell
+* A `Jupyter <http://jupyter.org/>`_ kernel to work with Python code in Jupyter
+  notebooks and other interactive frontends.
 
 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 <http://github.com/ipython>`_.
 """
 
 license = 'BSD'
 
 authors = {'Fernando' : ('Fernando Perez','[e-mail]'),
            'Janko'    : ('Janko Hauser','[e-mail]'),
            'Nathan'   : ('Nathaniel Gray','[e-mail]'),
            'Ville'    : ('Ville Vainio','[e-mail]'),
            'Brian'    : ('Brian E Granger', '[e-mail]'),
            'Min'      : ('Min Ragan-Kelley', '[e-mail]'),
            'Thomas'   : ('Thomas A. Kluyver', '[e-mail]'),
            'Jorgen'   : ('Jorgen Stenarson', '[e-mail]'),
            'Matthias' : ('Matthias Bussonnier', '[e-mail]'),
            }
 
 author = 'The IPython Development Team'
 
 author_email = '[e-mail]'
 
 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 = [
+    'Framework :: IPython',
     'Intended Audience :: Developers',
     'Intended Audience :: Science/Research',
     'License :: OSI Approved :: BSD License',
     'Programming Language :: Python',
     'Programming Language :: Python :: 2',
     'Programming Language :: Python :: 2.7',
     'Programming Language :: Python :: 3',
-    'Topic :: System :: Distributed Computing',
     'Topic :: System :: Shells'
     ]