Data Science Tutorials

Learn how to set up, integrate, and run the Gemma 3 270M model in an Android application, along with best practices for ensuring its reliability and safety for on-device inference.

Learn how to group data by multiple columns in SQL to perform advanced aggregations. Explore use cases and performance tips.

Explore the concept of central tendency in statistics, including specialized measures such as mean, median, and mode. Learn how to select the most appropriate measure based on your data characteristics and distribution.

Learn how to build a Deep Research Assistant using Jan-v1's agentic reasoning capabilities, including local deployment, Streamlit app development, and more.

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

Learn git branching strategies. Includes practical examples.

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.