/usr/lib/python2.7/dist-packages/ipython-1.2.1.egg-info is in ipython 1.2.1-2.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 | Metadata-Version: 1.1
Name: ipython
Version: 1.2.1
Summary: IPython: Productive Interactive Computing
Home-page: http://ipython.org
Author: The IPython Development Team
Author-email: ipython-dev@scipy.org
License: BSD
Download-URL: https://github.com/ipython/ipython/downloads
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 <http://github.com/ipython>`_.
Keywords: Interactive,Interpreter,Shell,Parallel,Distributed,Web-based computing,Qt console,Embedding
Platform: Linux
Platform: Mac OSX
Platform: Windows XP/Vista/7/8
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Topic :: System :: Distributed Computing
Classifier: Topic :: System :: Shells
|