Python Tutorial

As an expert LangChain engineer and educator, I’ll guide you from zero knowledge to hero-level proficiency with the LangChain Cookbook. This practical resource collection offers end-to-end code examples and workflows for building production-ready AI applications using components like RAG (Retrieval-Augmented Generation), agents, chains, tools, memory, embeddings, and databases[1][5][6]. Whether you’re a beginner prototyping in Jupyter or scaling to production, this tutorial provides step-by-step runnable examples, common pitfalls, extension tips, and best practices. ...

Google’s Gemini Cookbook is your ultimate hands-on guide to mastering the Gemini API. This official collection of Jupyter notebooks and quickstarts transforms beginners into production-ready developers by providing structured, copy-paste-ready examples for text generation, embeddings, function calling, streaming, multimodal inputs, and structured outputs. Whether you’re building chatbots, RAG systems, or multimodal apps, the Cookbook equips you with battle-tested patterns used by Google’s AI engineers. What is the Gemini Cookbook? The Gemini Cookbook is an official GitHub repository (google-gemini/cookbook) maintained by Google, featuring 50+ Jupyter notebooks organized into quickstarts and examples. It covers every major Gemini API capability with complete, runnable code. ...