CData Python Connector for Access

Build 20.0.7535

CData Python Connector for Access

Overview

The CData Python Connector for Access allows developers to write Python scripts with connectivity to Access. The connector wraps the complexity of accessing Access data in an interface commonly used by python connectors to common database systems.

Key Features

  • A variety of WHL files that accommodate several execution environments after installation with "pip install".
  • Supported for Python 3.6 and Python 3.7 (including Anacondas), within both Windows and Linux, whether 64-bit or 32-bit. A wheel for for Python 3.8 distributions on Mac is also available.
  • Write and execute SQL queries to fetch and update data in Access.
  • Custom dialect class that enables SQLAlchemy ORM to use this connector.

Getting Started

See Getting Started to install the connector to your python distribution and to create a basic connection to Access.

Using the Python Connector

See Using the Connector for examples of executing basic SELECT, INSERT, UPDATE, DELETE, and EXECUTE queries with the module's provided classes. See to connect Access data to tools such as Pandas.

SQLAlchemy ORM

SQLAlchemy can be leveraged to model the tables in Access with mapped classes. See From SQLAlchemy for instructions for configuring the Python connector with SQLAlchemy.

Pandas

Pandas' DataFrames can be used alongside the connector to generate analytical graphics. See From Pandas for a guide.

Schema Discovery

See Schema Discovery to query the provided system tables, which allows users to discover the available tables, views, and stored procedure, alongside additional information about their columns or parameters.

Connection String Options

The Connection properties describe the various options that can be used to establish a connection.

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Build 20.0.7535