Data Science Tutorials

Learn pandas groupby with syntax, parameters, examples, and advanced tips. Master split-apply-combine for efficient Python data analysis.

Learn how to build a Streamlit app for side-by-side comparison of Qwen3-Next-80B-A3B and other Qwen models, focusing on real-world performance metrics.

Learn about what dbt macros are, what they do and how to define and invoke them in dbt models.

Learn what data models in DBMS are, their types, levels, and design process. Includes PostgreSQL examples, ER diagrams, and optimization tips.

Explore how Azure Database for MySQL - Flexible Server powers modern data workflows with advanced architecture, cost optimization, and seamless Azure integration.

Step-by-step guide to deploying a production-ready Mosquitto MQTT broker using Docker containers. Includes authentication, TLS encryption, persistence configuration, and integration with Home Assistant.

A quick setup guide on how to install Git on Windows via GUI and CLI.

Learn what MongoDB Compass is and how to use the visual tool for database management.

Learn how to install and use Roo Code, an open-source AI coding assistant, and compare its features and functionalities with Cline.

Learn how to build an AI image editor using Tabnine and Google's Nano Banana model.

Master git reset --soft with practical examples, workflows, and safety protocols. Learn to manage commit history, split commits, and optimize your Git workflow.

Feed-Forward Neural Networks (FFNNs) are the foundation of deep learning, used in image recognition, Transformers, and recommender systems. This complete FFNN tutorial explains their architecture, differences from MLPs, activations, backpropagation, real-world examples, and PyTorch implementation.