Metadata-Version: 2.1
Name: pyomnisci
Version: 0.28.2
Summary: Data science toolkit support for OmniSciDB
Home-page: https://github.com/omnisci/pyomnisci
Author: OmniSci
Author-email: community@omnisci.com
License: Apache Software License
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Topic :: Database
Classifier: Topic :: Scientific/Engineering
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3 :: Only
Requires-Python: >=3.7
Description-Content-Type: text/x-rst
Provides-Extra: docs
Provides-Extra: test
Provides-Extra: dev
Provides-Extra: complete
License-File: LICENSE.md

=========
pyomnisci
=========

.. image:: https://jenkins-os.mapd.com/buildStatus/icon?job=pyomnisci-tests-pr
   :target: https://jenkins-os.mapd.com/job/pyomnisci-tests-pr/
   :alt: Jenkins Build Status

This package enables using common Python data science toolkits with `OmniSciDB`. It brings data frame 
support on CPU and GPU as well as support for arrow. See the `documentation`_ for more.

Quick Install (CPU)
-------------------

Packages are available on conda-forge and PyPI::

   conda install -c conda-forge pyomnisci

   pip install pyomnisci

Quick Install (GPU)
-------------------

We recommend creating a fresh conda 3.7 or 3.8 environment when installing
pymapd with GPU capabilities.

To install pymapd and cudf for GPU Dataframe support (conda-only)::

   conda create -n omnisci-gpu -c rapidsai -c nvidia -c conda-forge \
    -c defaults cudf=0.18 python=3.7 cudatoolkit=11.0 pyomnisci
   
Documentation
-------------

Further documentation for pyomnisci usage is available at: http://pyomnisci.readthedocs.io/

.. _DB API: https://www.python.org/dev/peps/pep-0249/
.. _OmniSci: https://www.omnisci.com/
.. _documentation: http://pyomnisci.readthedocs.io/en/latest/?badge=latest


