About this software
Python Connector for Microsoft Excel is an add-in that integrates Python scripting into Microsoft Excel workbooks. It lets users run Python code from Excel, exchange data between worksheets and Python objects, and use Python libraries for data processing, analysis, and visualization. The Standard edition is targeted at teams and individual analysts who need programmatic access to Python within Excel on Windows environments.
Purchase
Devart Python Connector for Microsoft
In Stock
Delivery: 1 working day
Loading...
€217.92
Free and without obligation
Do you need more information or looking for another license?
Benefits
- Run Python in Excel: Execute Python scripts directly from Excel worksheets for automation and analysis.
- Use Python libraries: Call Python packages for data processing, statistics, and visualization from Excel.
- Data exchange: Move data between Excel ranges and Python objects for integrated workflows.
- Team licensing: Standard edition supports small team deployments under a team license.
- Windows integration: Designed to work with Microsoft Excel on Windows environments.
Available languages
- English
Support information
- Product documentation: Documentation and user guides are available on the publisher website.
- Knowledge base: Online knowledge base and articles provide configuration and troubleshooting steps.
- Software updates: Publisher provides updates and patch information through its product pages.
- License management: License details and activation instructions are documented by the publisher.
- Compatibility notes: Platform and compatibility details are listed in official product documentation.
Frequently asked questions
What is Devart Python Connector for Microsoft?
A Python library that enables applications to connect to Microsoft data sources, execute SQL statements, retrieve query results, and integrate database access into Python code.
How is the connector used in a Python application?
Typical usage involves establishing a connection with connection parameters, opening a cursor or session, executing SQL or prepared statements, fetching results, and committing or rolling back transactions as required.
Does the connector support parameterized queries and transaction control?
Yes. Connectors of this type support parameterized statements to reduce SQL injection risk and provide transaction control (begin/commit/rollback) to manage multi-step data operations.
What programming interface does it expose for Python developers?
Typically exposes a Pythonic database API for executing SQL, handling result sets, and managing connections, allowing integration with standard Python database workflows and tooling.