Synopsis
In Quick Guide to Data Science: LangGraph Made Simple, you will learn in a clear, practical, and progressive way how one of the most important approaches for building applications with LLMs, agents, and stateful workflows works. Ideal for beginners, analysts, data scientists, engineers, managers, consultants, and professionals who want to better understand graph-based orchestration, this book explains what LangGraph is, why it matters so much, how nodes, edges, state, memory, persistence, tools, flow control, observability, practical applications, usage limits, and integration with the LLM ecosystem work — always with the 10 minutes a day philosophy.
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