Metadata-Version: 2.1
Name: turbodbc
Version: 2.7.0
Summary: turbodbc is a Python DB API 2.0 compatible ODBC driver
Home-page: https://github.com/blue-yonder/turbodbc
Author: Michael Koenig
Author-email: michael.koenig@blue-yonder.com
License: UNKNOWN
Description: ![turbodbc logo](/page/logo.png?raw=true "turbodbc logo")
        
        Turbodbc - Turbocharged database access for data scientists.
        ============================================================
        
        [![Build Status](https://travis-ci.org/blue-yonder/turbodbc.svg?branch=master)](https://travis-ci.org/blue-yonder/turbodbc)
        [![Build status](https://ci.appveyor.com/api/projects/status/e1e8wlidpvpmcauu/branch/master?svg=true)](https://ci.appveyor.com/project/MathMagique/turbodbc/branch/master)
        [![Documentation Status](https://readthedocs.org/projects/turbodbc/badge/?version=latest)](http://turbodbc.readthedocs.io/en/latest/?badge=latest)
        [![codecov](https://codecov.io/gh/blue-yonder/turbodbc/branch/master/graph/badge.svg)](https://codecov.io/gh/blue-yonder/turbodbc)
        [![Anaconda-Server Badge](https://anaconda.org/conda-forge/turbodbc/badges/installer/conda.svg)](https://conda.anaconda.org/conda-forge)
        [![Anaconda-Server Badge](https://anaconda.org/conda-forge/turbodbc/badges/downloads.svg)](https://anaconda.org/conda-forge/turbodbc)
        
        Turbodbc is a Python module to access relational databases via the
        [Open Database Connectivity (ODBC)](https://en.wikipedia.org/wiki/Open_Database_Connectivity)
        interface. Its primary target audience are data scientist
        that use databases for which no efficient native Python drivers are available.
        
        For maximum compatibility, turbodbc complies with the
        [Python Database API Specification 2.0 (PEP 249)](https://www.python.org/dev/peps/pep-0249/).
        For maximum performance, turbodbc offers built-in [NumPy](http://www.numpy.org) and
        [Apache Arrow](https://arrow.apache.org) support
        and internally relies on batched data transfer instead of single-record communication as
        other popular ODBC modules do.
        
        Turbodbc is free to use ([MIT license](https://github.com/blue-yonder/turbodbc/blob/master/LICENSE)),
        open source ([GitHub](https://github.com/blue-yonder/turbodbc)),
        works with Python 2.7 and Python 3.4+, and is available for Linux, OSX, and Windows.
        
        Turbodbc is routinely tested with [MySQL](https://www.mysql.com),
        [PostgreSQL](https://www.postgresql.org), [EXASOL](http://www.exasol.com),
        and [MSSQL](http://microsoft.com/sql), but probably also works with your database.
        
        
        Nice! Where can I find documentation?
        -------------------------------------
        
        Follow this link to the [latest turbodbc documentation](http://turbodbc.readthedocs.io/en/latest/).
        The documentation explains how to install and use turbodbc, and also provides
        answers to many questions you might have.
        
        Is turbodbc on Twitter?
        -----------------------
        
        Yes, it is! Just follow [@turbodbc](https://twitter.com/turbodbc)
        for the latest turbodbc talk and news about related technologies.
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Programming Language :: C++
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Topic :: Database
Description-Content-Type: text/markdown
Provides-Extra: numpy
Provides-Extra: arrow
