devart-access-connector 1.3.0

New level of functionality and performance in data access via Python

Python Connector for Microsoft Access

Python Connector for Microsoft Access is a connectivity solution for accessing Microsoft Access databases from Python applications. It fully implements the Python DB API 2.0 specification. The connector is distributed as a wheel package for Windows, macOS, and Linux.

Direct connection

Python offers a standard pyodbc module, which you can use to access Microsoft Access databases through the Microsoft Access ODBC Driver. This method has several disadvantages:

• Microsoft offers Access ODBC drivers only for the Windows platform.
• Users might experience issues opening databases created in the latest versions of Microsoft Access.
• Users have to install either Microsoft Access or Microsoft Access Database Engine Redistributable on their machine.
• By default, Microsoft Access is a single-user database system. An Access database cannot be opened concurrently in multiple applications. Our connector provides the following advantages:
• A direct access to a database without installing Microsoft Access or Microsoft Access Database Engine Redistributable on the user's machine
• Support for all major desktop platforms: Windows, macOS, and Linux
• Support for the .mdb and .accdb file formats, including databases created in the latest Microsoft Access versions
• A read-only multi-user mode to enable several users to read data from a database simultaneously

Connecting

To establish a connection to a Microsoft Access database, import the connector and use the connect() method with your connection parameters.

Import the connector

First, import the Access connector module:

import devart.access as access

Establish a connection

Call the connect() method and obtain a connection object.

my_connection = access.connect(
Database="path_to_db"
)

Replace Database with the actual path to your Access database file.

Querying data

Once connected to Microsoft Access, you can execute SQL queries to retrieve data from your Access database.

Execute a query

Create a cursor object using the cursor() connection method.

my_cursor = my_connection.cursor()

Execute a SQL query using the execute() cursor method.

my_cursor.execute("SELECT * FROM employees")

Retrieve results using one of the fetch*() methods.

for row in my_cursor.fetchall():
    print(row)

Parameterized queries

You can use parameterized queries to pass variable values to your SQL statements. This allows you to reuse the same query with different data and helps to prevent SQL injection attacks.

Pass parameters as a list or tuple to the execute() method:

query = "SELECT Id, Name FROM Contact WHERE Name = ? AND Email = ?"
params = ["Jordan Sanders", "[e-mail]"]
my_cursor.execute(query, params)
results = my_cursor.fetchall()
for row in results:
    print(row)

Each placeholder ? in the query is replaced with a corresponding value from the parameter list.

Ordering and activating the license

You can purchase a license for the connector on the ordering page:
https://www.devart.com/python/access/ordering.html

To activate the license, follow the instructions in the documentation:
https://docs.devart.com/python/access/activate-a-license.htm

What's new

Python Connector for Microsoft Access 1.3

• Added support for Python 3.14
• Added CacheSize and CacheLifetime options to improve performance in the ExclusiveLock mode
• Added the PartialIndex option to improve SELECT performance
• Significantly improved the performance of DML operations executed within a transaction