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 as of kdb+ v4.0
Uncompression of the IPC data stream
Internal representation of data via numpy arrays (lists, complex types) and numpy data types (atoms)
Supported on Python 3.4/3.5/3.6 and numpy 1.8+
For more details please refer to the documentation.
Installation
To install qPython from PyPI:
$ pip install qpython3
Please do not use old PyPI package name: qpython or exxeleron-qpython.
Building package
Documentation
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.
Instructions:
Execute: python setup.py build_ext --inplace
Build binary distribution
Instructions:
Execute: python setup.py bdist
Testing
qPython uses py.test as a test runner for unit tests.
Instructions:
Make sure that top directory is included in the PYTHONPATH
Execute: py.test
Requirements
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
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