Metadata-Version: 2.0
Name: scidb-py
Version: 16.9.post1
Summary: Python wrappers for SciDB
Home-page: UNKNOWN
Author: Kriti Sen Sharma
Author-email: cbeaumont@cfa.harvard.edu
License: AGPL-3.0
Download-URL: http://github.com/paradigm4/scidb-py
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU Affero General Public License v3
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2.7
Classifier: Topic :: Database :: Front-Ends
Classifier: Topic :: Scientific/Engineering
Requires-Dist: numpy
Requires-Dist: requests

SciDB-py: Python Interface to SciDB
===================================
SciDB-py is a full-featuered Python interface to SciDB.  It's goal is to
allow users to utilize the power of SciDB_ from Python, using a familiar
and intuitive numpy-like syntax.  For more information, see the
SciDB-Py Documentation_.

- Authors: Jake VanderPlas <jakevdp@cs.washington.edu>, Chris Beaumont <cbeaumont@cfa.harvard.edu>, Kriti Sen Sharma <ksen@paradigm4.com>, Jonathan Rivers<jrivers@paradigm4.com>
- License: Simplified BSD
- Documentation: http://scidb-py.readthedocs.org/en/latest/

Requirements
------------
SciDB-Py requires a working SciDB_ installation, as well as a
Shim_ network interface connected to the instance.  It requires
Python 2.6-2.7 or 3.3.

Package Dependencies
--------------------
SciDB-Py has several Python package dependencies:

NumPy_
    tested with version 1.7.

Requests_
    tested with version 2.7.
    (Note: known failures exist when used with requests version < 2)
    Required for using the Shim interface to SciDB.

Pandas_ (optional)
    tested with version 0.10.
    Required only for importing/exporting SciDB arrays
    as Pandas Dataframe objects.

SciPy_ (optional)
    tested with versions 0.10-0.12.
    Required only for importing/exporting SciDB arrays
    as SciPy sparse matrices.

Test Dependencies
-----------------
Mock_
    Required for some tests

Installation
------------

NOTE for different versions of SciDB
The master branch of this repository tracks the latest release of SciDB. 
To get a version of SciDB-Py that works with SciDB version 15.7 or older, choose the ``scidb15.7`` branch.

Installation steps

The latest release of ``scidb-py`` can be installed from the Python package index::

   pip install scidb-py

Install the development package directly from Github with::

    pip install git+http://github.com/paradigm4/scidb-py.git

The latest release of ``scidb-py`` can be installed from the github "http://github.com/paradigm4/scidb-py", "master" branch by downloading the code and typing::

    python setup.py install

Depending on how your Python installation is set up, you
may need root privileges for this.

Support
-------
This work has been supported by NSF Grant number 1226371_ and by
Paradigm4_.


.. _1226371: http://www.nsf.gov/awardsearch/showAward?AWD_ID=1226371
.. _Paradigm4: http://www.paradigm4.com
.. _NumPy: http://www.numpy.org
.. _Requests: http://www.python-requests.org/en/latest/
.. _SciPy: http://www.scipy.org
.. _Pandas: http://pandas.pydata.org/
.. _Shim: http://github.com/paradigm4/shim
.. _SciDB: http://paradigm4.com/
.. _Documentation: http://scidb-py.readthedocs.org/
.. _Source: http://github.com/paradigm4/SciDB-py
.. _Mock: http://www.voidspace.org.uk/python/mock/


