Data Science Tutorials

Learn how to run Qwen3-Next locally, serve it with transformers serve, and interact using cURL and the OpenAI SDK, making it ready for your app integrations.

Learn how to run your first MongoDB vector search. This tutorial walks you through finding similar items with embeddings and step-by-step examples.

Learn how Self-RAG improves traditional RAG by incorporating iterative reasoning and self-evaluation, and how to implement it step-by-step using LangGraph.

Learn how to build a chatbot with Snowflake Cortex AI. Step-by-step guide to preparing data, using Cortex Search, and deploying with Streamlit.

Compare LangChain, LangGraph, LangSmith, and LangFlow. Learn their roles, strengths, and when to use each for building production-ready AI applications.

Learn what LiteLLM is and how to use it for unified API calls to various LLM providers, covering basic API usage, error handling, fallbacks, streaming, structured outputs, and cost tracking.

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.

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

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