Data Science Tutorials
Learn data science and AI with step-by-step tutorials on the DataCamp blog. Master Python, SQL, machine learning, and build your own AI agents.
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Claude Agent SDK Tutorial: Create Agents Using Claude Sonnet 4.5
Learn how the Claude Agent SDK works by building three projects, from one-shot to custom-tool agents.
Abid Ali Awan
29 September 2025
CrewAI vs. LangGraph vs. AutoGen: Choosing the Right Multi-Agent AI Framework
Learn how CrewAI, LangGraph, and AutoGen approach multi-agent AI. Explore their differences in workflows, memory, scalability, and collaboration to discover which fits your needs best.
Benito Martin
28 September 2025
How to Build a Vector Search Application with MongoDB Atlas and Python
Learn how to run your first MongoDB vector search. This tutorial walks you through finding similar items with embeddings and step-by-step examples.
Nilesh Soni
25 September 2025
How to Run Qwen3-Next Locally
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.
Abid Ali Awan
25 September 2025
Self-Rag: A Guide With LangGraph Implementation
Learn how Self-RAG improves traditional RAG by incorporating iterative reasoning and self-evaluation, and how to implement it step-by-step using LangGraph.
Ryan Ong
25 September 2025
How to Build a Chatbot with Snowflake Cortex AI (Step-by-Step Guide)
Learn how to build a chatbot with Snowflake Cortex AI. Step-by-step guide to preparing data, using Cortex Search, and deploying with Streamlit.
Tim Lu
24 September 2025
LangChain vs LangGraph vs LangSmith vs LangFlow: Key Differences Explained
Compare LangChain, LangGraph, LangSmith, and LangFlow. Learn their roles, strengths, and when to use each for building production-ready AI applications.
Vaibhav Mehra
23 September 2025
LiteLLM: A Guide With Practical Examples
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.
Bexruz (Bex) Tuychiev
23 September 2025
Pandas GroupBy Explained: Syntax, Examples, and Tips
Learn pandas groupby with syntax, parameters, examples, and advanced tips. Master split-apply-combine for efficient Python data analysis.
Rajesh Kumar
22 September 2025
Qwen3-Next: A Guide With Demo Project
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.
Aashi Dutt
22 September 2025
dbt Macros: A Comprehensive Guide
Learn about what dbt macros are, what they do and how to define and invoke them in dbt models.
Austin Chia
21 September 2025
DBMS Data Models Explained: Types, Levels, and PostgreSQL Examples
Learn what data models in DBMS are, their types, levels, and design process. Includes PostgreSQL examples, ER diagrams, and optimization tips.
Austin Chia
18 September 2025