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New level of functionality and performance in data access via Python

Project description

Python Connector for xBase

Python Connector for xBase is a connectivity solution for accessing FoxPro, Visual FoxPro, dBase, and other databases in DBF file formats 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

The connector enables you to establish a direct connection to Visual FoxPro, dBase, and other xBase databases eliminating the need for the client library. A direct connection increases the speed of data transmission between a Python application and an xBase database and simplifies the deployment.

Local indexing

The connector offers an internal data indexing mechanism that is way more efficient than native DBF indexes for complex queries.

Retrieval of corrupted data

You can choose to ignore corrupted data and metadata errors in DBF tables. Corrupted data is skipped, while intact data is properly retrieved.

Using the connector

To retrieve data from a database:

Import the module.

import devart.xbase

Connect to a database using the connect() module method and obtain a connection object.

my_connection = devart.xbase.connect(
    Database="path_to_db"
)

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

my_cursor = my_connection.cursor()

Execute the SQL statement using the execute() cursor method.

my_cursor.execute("SELECT * FROM employees")

Retrieve the result set using one of the fetch*() cursor methods.

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

Ordering and activating the license

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

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

What's new

Python Connector for xBase 1.1

  • Added support for the UTF-8 encoding
  • Added support for tables with duplicate column names
  • Added connection pooling
  • Added activation with a license key
  • Added the subscription license type

Project details


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