Data Science Tutorials

Learn about Kiro, an AI IDE, and its features, installation, and how it compares to other AI coding tools like Cursor.

Learn how to use OpenRouter's unified API to access various AI models, implement features like streaming, reasoning tokens, or structured outputs.

Learn git branching strategies. Includes practical examples.

Learn Loguru, Python's easiest logging framework. Master file rotation, structured logging, exception handling, and custom sinks with zero configuration.

Learn how to build an interactive reasoning demo using MetaStone’s XBai o4 model, covering its reflective generative reasoning.

Learn how AWS Cognito simplifies user authentication, authorization, and identity management for modern web and mobile applications.

Learn how to set up and manage Row-Level Security (RLS) in Power BI with step-by-step examples, dynamic and static configurations, advanced tips, and common pitfalls to avoid.

I tested Google's new Gemini 2.5 Deep Think mode on five real-world problems, ranging from PhD-level questions to business challenges.

Learn how to use Cramer's rule to solve systems of linear equations through determinants, with practical examples.

Explore the latest OpenAI GPT-5 API features with code examples, including reasoning effort, verbosity control, chain-of-thought handoff, freeform input, output constraints, allowed tools, preambles, prompt optimization, and more.

Running GPT-OSS 120B locally, accessing it in a browser using the free chat applications, trying fast and free LLM inference providers, and exploring an LLM marketplace for the best and fastest model access.

Generate random numbers in Excel easily with the RANDARRAY() function. Learn how to use RANDARRAY() to create dynamic arrays of random numbers for your spreadsheets.