SKU/Artículo: AMZ-B0GHR7YNTM
The Python Data Analyst: CHATTING WITH SQL & EXCEL USING LLMS
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.37 kg
0.37 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Stop writing complex queries start having conversations with your data.Book SummaryThe era of manual data extraction is ending. The Python Data Analyst bridges the critical gap between traditional business intelligence and the cutting edge of Generative AI. This book goes beyond simple prompts, providing a comprehensive, expert-led guide to architecting intelligent systems that allow you to query SQL databases and Excel spreadsheets using natural language. Instead of spending hours debugging syntax or memorizing complex Excel formulas, you will learn to build Python-based AI agents that understand your questions, generate the necessary code, and deliver accurate, data-driven insights instantly.We take a hands-on, production-oriented approach to building these systems. You will dive deep into the mechanics of connecting Large Language Models (LLMs) to structured data sources using modern Python libraries. The text walks you through the intricate process of "Text-to-SQL" generation and programmatic Excel manipulation. You will not just learn the theory; you will build a functioning "Data Chatbot" capable of reasoning over millions of rows of data, handling schema ambiguities, and visualizing results, all while maintaining data security and query accuracy.This guide is designed for the pragmatic developer and the forward-thinking analyst. It strips away the hype to focus on implementation strategy from setting up the environment to deploying a local LLM for private data analysis. By the end of this book, you will have a complete, working toolkit to automate your reporting workflows and transform the way your organization interacts with data.Why Choose this Book?Dual-Source Mastery: Unlike other guides that focus solely on text files, this book tackles the two giants of corporate data: relational SQL databases and Excel/CSV workflows.Production-Ready Code: Every chapter includes complete, documented Python scripts that you can immediately adapt for your own projects, focusing on robust error handling and real-world applicability.Privacy-First AI: Learn strategies to leverage LLMs for data analysis without compromising sensitive information, including options for using local models.From Syntax to Semantics: Move from writing rigid code to architecting flexible agents that understand business context and user intent.Call-to-ActionTransform your data workflow today grab your copy now and build your own AI-powered data analyst.
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