We will look at three methods for using SQL in this article. The first method, connecting to your SQL database through the Python programming language with the traditional SQL commands, is probably ...

This quickstart describes how to connect an application to a database in Azure SQL Database and perform queries using Python and the mssql-python driver. The mssql-python driver has built-in support ...

As a data scientist, you need Python for detailed data analysis, data visualization, and modeling. However, when your data is stored in a relational database, you need to use SQL (Structured Query ...

Application requests to Azure SQL Database must be authenticated. Although there are multiple options for authenticating to Azure SQL Database, you should prioritize passwordless connections in your ...

You can’t spell data science without data. Okay, that’s cheesy but it’s true! Most (if not all) of the time, the data you need is stored in a database management system (DBMS) on a remote server or ...

An Azure Functions QuickStart project that demonstrates how to use both SQL Triggers and SQL Output Bindings with the Azure Developer CLI (azd) for rapid, event-driven integration with Azure SQL ...

SQL is extremely good for data retrieval and calculating basic statistics, whereas Python comes into its own when you need in-depth, flexible exploratory data analysis or data science. What if you ...

The Cloud SQL Python Connector is a Cloud SQL connector designed for use with the Python language. Using a Cloud SQL connector provides a native alternative to the Cloud SQL Auth Proxy while providing ...

In this tutorial, we demonstrate how we use Ibis to build a portable, in-database feature engineering pipeline that looks and feels like Pandas but executes entirely inside the database. We show how ...