turbodbc 1.1.2


Turbodbc - Turbocharged database access for data scientists.

[](https://travis-ci.org/blue-yonder/turbodbc) [](https://ci.appveyor.com/project/MathMagique/turbodbc/branch/master) [](http://turbodbc.readthedocs.io/en/latest/?badge=latest) [](https://codecov.io/gh/blue-yonder/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) 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.