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kdb+ interfacing library for Python

Project description

This project is in maintenance mode. We may fix bugs, but no new features will be added in foreseeable future.


qPython is a Python library providing support for interprocess communication between Python and kdb+ processes, it offers:

- Synchronous and asynchronous queries
- Convenient asynchronous callbacks mechanism
- Support for kdb+ protocol and types: v3.0, v2.6, v<=2.5
- Uncompression of the IPC data stream
- Internal representation of data via numpy arrays (lists, complex types) and numpy data types (atoms)
- Supported on Python 2.7/3.4/3.5/3.6 and numpy 1.8+

For more details please refer to the `documentation`_.


To install qPython from PyPI:

``$ pip install qpython``

**Please do not use old PyPI package name: exxeleron-qpython.**

Building package


qPython documentation is generated with help of `Sphinx`_ document generator.
In order to build the documentation, including the API docs, execute:
``make html`` from the doc directory.

Documentation is built into the: ``doc/build/html/`` directory.

Compile Cython extensions

qPython utilizes `Cython`_ to tune performance critical parts of the code.


- Execute: ``python build_ext --inplace``

Build binary distribution


- Execute: ``python bdist``


qPython uses py.test as a test runner for unit tests.


- Make sure that top directory is included in the ``PYTHONPATH``
- Execute: ``py.test``


qPython requires numpy 1.8 to run.

Optional requirements have to be met to provide additional features:

- tune performance of critical parts of the code:

- Cython 0.20.1

- support serialization/deserialization of ``pandas.Series`` and ``pandas.DataFrame``

- pandas 0.14.0

- run Twisted sample:

- Twisted 13.2.0

- build documentation via Sphinx:

- Sphinx 1.2.3
- mock 1.0.1

Required libraries can be installed using `pip`_.

To install all the required dependencies, execute:
``pip install -r requirements.txt``

Minimal set of required dependencies can be installed by executing:
``pip install -r requirements-minimal.txt``

.. _Cython:
.. _Sphinx:
.. _pip:
.. _documentation:

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