Python Connector for Google Sheets Standard

Up to 4 installations, 2 year, EN, WIN, Renewal Maintenance, Premium Support included, Team License

Python Connector for Google Sheets Standard
Python Connector for Google BigQuery is a DB-API 2.0-compatible Python package for connecting Python applications to Google BigQuery. Distributed as a wheel for Windows, it supports BigQuery SQL dialect, data types, and query syntax. The connector supports Python 3.7–3

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Python Connector for Google BigQuery is a DB-API 2.0-compatible Python package for connecting Python applications to Google BigQuery. Distributed as a wheel for Windows, it supports BigQuery SQL dialect, data types, and query syntax. The connector supports Python 3.7–3.13 and integrates with SQLAlchemy and pandas. Features include connection pooling, local caching, Unicode support, and configurable data type mapping. Installation and activation instructions, connection parameters, and usage examples are provided in the publisher documentation.
  • DB-API 2.0 compliance: Implements Python DB API 2.0 for standard database access.
  • BigQuery SQL support: Supports BigQuery SQL dialects, functions, and data types.
  • Python ecosystem integration: Works with SQLAlchemy and pandas for downstream workflows.
  • Performance features: Offers connection pooling and local caching for faster access.
  • Windows wheel distribution: Distributed as wheel packages for Windows 32-bit and 64-bit.


  • Documentation and guides: Product docs include installation, connection parameters, and usage examples on the publisher site.
  • Technical support portal: Submit support requests and track issues via the publisher's support center and contact form.
  • Community forum access: Join the Python Connectors Forum to ask questions and find community solutions.
  • License activation instructions: Follow activation and license key steps in the product documentation to activate purchased licenses.
  • Release notes and updates: A What's New page lists version changes and added features with release dates.

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