Python wrappers for SciDB
Project description
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.
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