Data Science Tutorials

Discover the fundamentals of Cartesian products in SQL. Learn when and how to use them effectively, and explore best practices to optimize performance.

Discover what cardinality means and how it impacts data processing, analysis, and machine learning. Learn about practical strategies and techniques for managing high cardinality, from data preprocessing to advanced optimization tools.

Discover how to leverage Databricks SQL for efficient data analytics, querying, and business intelligence with practical examples and best practices.

Learn to integrate AWS Lake Formation and AWS Glue to create secure data pipelines, configure access controls, and automate ETL workflows.

Understand how materialized views improve query performance in SQL databases. Learn the limitations and best practices of materialized views in different databases.

Explore the fundamentals of eigendecomposition and its applications in data science and machine learning.

Learn how to set up and run vLLM (Virtual Large Language Model) locally using Docker and in the cloud using Google Cloud.

Learn how to effectively join three tables in SQL. Discover practical methods and examples to enhance your data manipulation skills. Master SQL joins with ease.

Learn how to use UV, the fastest Python package manager in 2025. Discover 10x faster dependency management, virtual environments, and seamless migration from pip, Poetry, and Conda.

Explore different methods to list tables in an SQLite database using the command-line, SQL queries, and programming languages like Python and C.

Learn the basics of SQL stored procedures and how to implement them in different databases, including MySQL and SQL Server.

Learn how to build a homework checker using Microsoft's Phi-4 model, which validates solutions, provides detailed corrections, and suggests elegant alternatives.