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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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Docker Ollama: Run LLMs Locally for Privacy and Zero Cost

Set up Ollama in Docker to run local LLMs like Llama and Mistral. Keep your data private, eliminate API costs, and build AI apps that work offline.
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Dario Radečić

30 septembrie 2025

Imagine with Claude: A Guide With Practical Examples

Learn how Anthropic's Imagine with Claude introduces a new paradigm for AI-assisted software development, generating functionality on the fly.
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François Aubry

30 septembrie 2025

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.
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Abid Ali Awan

29 septembrie 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.
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Benito Martin

28 septembrie 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.
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Abid Ali Awan

25 septembrie 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.
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Nilesh Soni

25 septembrie 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.
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Ryan Ong

25 septembrie 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.
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Tim Lu

24 septembrie 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.
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Vaibhav Mehra

23 septembrie 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.
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Bex Tuychiev

23 septembrie 2025