Microsoft demonstrates how to validate database-backed AI applications locally and in CI using the Cosmos DB Emulator.

Build a Python tracker for the Nintendo Switch 2 games list: scrape, dedupe, alert on new releases, and export a shareable list in 12 steps.

Spatial SQL and spatial joins are now supported in Lakehouse//RT and can run up to 38x faster than traditional data ...

The pandas library is Python's primary data analysis tool. By combining pandas with the mssql-python driver, you can: Load SQL query results directly into DataFrames. Write DataFrames back to ...

SQL is the industry standard for high-performance structured data analysis. However, expressing complex procedural logic, scientific computations, advanced string manipulations, or machine learning ...

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 ...

Pandas continues to be a core Python skill in 2026, powering data analysis, cleaning, and engineering workflows across industries. From data science to engineering, Pandas courses of 2026 will help ...

DuckDB is a high-performance, easy-to-integrate solution that fills the gap between lightweight embedded databases and full-scale data warehouses. It is easy to install and set up, flexible, and works ...

Polars and pandas are both DataFrame libraries for working with tabular data in Python and related ecosystems. Pandas is widely adopted and flexible, while Polars is designed for higher performance ...

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 ...

You can connect to Snowflake in many languages. If your language of choice is Python, you'll want to begin here to connect to Snowflake. We'll walk you through getting the Python Connector up and ...

Data transformations are the engine room of modern data operations — powering innovations in AI, analytics and applications. As the core building blocks of any effective data strategy, these ...