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        "author_email": "kdbtools@devnet.de",
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        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Environment :: Console",
            "Intended Audience :: Developers",
            "Intended Audience :: Education",
            "Intended Audience :: End Users/Desktop",
            "Intended Audience :: Financial and Insurance Industry",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: Apache Software License",
            "Operating System :: MacOS",
            "Operating System :: Microsoft :: Windows",
            "Operating System :: POSIX",
            "Operating System :: Unix",
            "Programming Language :: Python",
            "Topic :: Database :: Front-Ends",
            "Topic :: Scientific/Engineering",
            "Topic :: Software Development"
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        "description": "qPython\r\n=======\r\n\r\nqPython is a Python library providing support for interprocess communication between Python and kdb+ processes, it offers:\r\n\r\n- Synchronous and asynchronous queries\r\n- Convenient asynchronous callbacks mechanism\r\n- Support for kdb+ protocol and types: v3.0, v2.6, v<=2.5\r\n- Uncompression of the IPC data stream\r\n- Internal representation of data via numpy arrays (lists, complex types) and numpy data types (atoms)\r\n- Supported on Python 2.7 and numpy 1.8\r\n \r\nFor more details please refer to the `documentation`_.\r\n\r\n\r\nInstallation\r\n------------\r\n\r\nTo install qPython from PyPI:\r\n\r\n``$ pip install qpython``\r\n\r\n**Please do not use old PyPI package name: exxeleron-qpython.**\r\n\r\nBuilding package\r\n----------------\r\n\r\nDocumentation\r\n~~~~~~~~~~~~~\r\n\r\nqPython documentation is generated with help of `Sphinx`_ document generator.\r\nIn order to build the documentation, including the API docs, execute: \r\n``make html`` from the doc directory.\r\n\r\nDocumentation is built into the: ``doc/build/html/`` directory.\r\n\r\n\r\nCompile Cython extensions\r\n~~~~~~~~~~~~~~~~~~~~~~~~~\r\n\r\nqPython utilizes `Cython`_ to tune performance critical parts of the code.\r\n\r\nInstructions: \r\n\r\n- Execute: ``python setup.py build_ext --inplace``\r\n\r\n\r\nBuild binary distribution\r\n~~~~~~~~~~~~~~~~~~~~~~~~~\r\n\r\nInstructions: \r\n\r\n- Execute: ``python setup.py bdist``\r\n\r\n\r\nTesting\r\n~~~~~~~\r\n\r\nqPython uses py.test as a test runner for unit tests.\r\n\r\nInstructions:\r\n\r\n- Make sure that top directory is included in the ``PYTHONPATH``\r\n- Execute: ``py.test``\r\n\r\n\r\nRequirements\r\n~~~~~~~~~~~~\r\n\r\nqPython requires numpy 1.8 to run.\r\n\r\nOptional requirements have to be met to provide additional features:\r\n\r\n- tune performance of critical parts of the code:\r\n\r\n  - Cython 0.20.1\r\n\r\n- support serialization/deserialization of ``pandas.Series`` and ``pandas.DataFrame``\r\n\r\n  - pandas 0.14.0\r\n  \r\n- run Twisted sample:\r\n\r\n  - Twisted 13.2.0\r\n\r\n- build documentation via Sphinx:\r\n\r\n  - Sphinx 1.2.3\r\n  - mock 1.0.1\r\n\r\nRequired libraries can be installed using `pip`_.\r\n\r\nTo install all the required dependencies, execute: \r\n``pip install -r requirements.txt``\r\n\r\nMinimal set of required dependencies can be installed by executing: \r\n``pip install -r requirements-minimal.txt``\r\n\r\n.. _Cython: http://cython.org/\r\n.. _Sphinx: http://sphinx-doc.org/\r\n.. _pip: http://pypi.python.org/pypi/pip\r\n.. _documentation: http://qpython.readthedocs.org/en/latest/",
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        "license": "Apache License Version 2.0",
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