devart-excel-connector 1.2.0

New level of functionality and performance in data access via Python

Python Connector for Microsoft Excel

Python Connector for Microsoft Excel is a connectivity solution for accessing Microsoft Excel, Apache OpenOffice Calc, and LibreOffice Calc spreadsheets 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

Our connector provides the following advantages:

• A direct access to an Excel workbook without installing Microsoft Excel or Microsoft Access Database Engine Redistributable components on the user's machine
• Support for all major desktop platforms: Windows, macOS, and Linux
• Support for the Microsoft Excel 2007-2021 Workbook (.xlsx), Microsoft Excel 97-2003 Workbook (.xls), and OpenDocument Spreadsheet (.ods) file formats
• A read-only multi-user mode that enables several users to read data from a workbook simultaneously

Connecting

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

Import the connector

First, import the Microsoft Excel connector module:

import devart.excel as excel

Establish a connection

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

my_connection = excel.connect(
    Database="path_to_workbook"
)

Replace Database with the actual path to your Microsoft Excel database file.

Querying data

Once connected to Microsoft Excel, you can execute SQL queries to retrieve data from your Excel workbooks.

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/excel/ordering.html

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

What's new

Python Connector for Microsoft Excel 1.2

• Added support for Python 3.14
• Improved detection of column data types