A Python 3.11 project that connects to a local SQL Server instance running in Docker. This project provides a complete setup for working with SQL Server using both pyodbc and SQLAlchemy, with support ...

In this quickstart, you use Streamlit to quickly create a report, allowing you to quickly gather user feedback to ensure you're on the right track. You use the mssql-python driver for Python to ...

In this quickstart, you use uv to manage project dependencies and environments for a Python script that connects to a database that you created and loaded with sample data. You use the mssql-python ...

Requires Python 3.10–3.14 and a vector-enabled database: SQL Server 2025 (17.x), Azure SQL Database, Azure SQL Managed Instance on the SQL Server 2025 or Always-up ...

Reviewed by Sumit Sarabhai Fetching a million rows from SQL Server into a Polars DataFrame used to mean a million Python objects, a million GC allocations, and then throwing it all away to build a ...