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Getting Started with mssql-python for Data Developers

rogrammatic interaction with SQL Server or Azure SQL from a Python script is possible using a driver. A popular driver has been pyodbc that can be used standalone or with a SQLAlchemy wrapper. SQLAlchemy on its own is the Python SQL toolkit and Object Relational Mapper for developers. In the end of 2025 Microsoft released v1 of their own Python SQL driver called mssql-python. How do you get started using mssql-python for programmatic access to your SQL Server?

2026-03-11

External Article

SSMS 22 Offline Installation

Beginning with SQL Server Management Studio 21, Microsoft stopped providing the direct download package/binaries to install SSMS, instead it just downloads the SSMS installer. This installer then starts the installation of SSMS and downloads what is needed to install SSMS. Sometimes there may be a need to do an offline installation where you do not have access to the internet. In this article, we walk through the steps to do an offline install of SSMS.

2026-02-27

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Question of the Day

The string_agg function

We create the following table and then insert some records in it:

create table t1 (
   id int primary key,
   category char(1) not null,
   product varchar(50)
);

insert into t1 values
(1, 'A', 'Product 1'),
(2, 'A', 'Product 2'),
(3, 'A', 'Product 3'),
(4, 'B', 'Product 4'),
(5, 'B', 'Product 5');
What happens if we execute the following query in both Sql Server and PostgreSQL?
select id, 
category, 
string_agg(product, ';')
                 over (partition by category order by id
                 rows between unbounded preceding and unbounded following) as stragg
from t1;

See possible answers