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In today's data-driven world, real-world information rarely arrives in a single format. Documents contain interleaved text, tables, images, and diagrams; customer feedback spans written reviews, screenshots, and voice recordings; scientific reports integrate charts, figures, and narrative explanations. Mastering multimodal data analysis is no longer optional—it's essential for building intelligent, production-ready AI systems. Master Multimodal Data Analysis with LLMs and Python, written by Stone Fox, is the definitive hands-on guide for developers, data scientists, and AI engineers who ...

Large Language Models (LLMs) have revolutionized data analysis by enabling powerful, multimodal reasoning over text, tabular data, images, and audio—without requiring massive labeled datasets or complex feature engineering. In Data Analysis with LLMs: From Scratch to Production, senior technical author Stone Fox provides a comprehensive, hands-on roadmap for beginners and intermediate practitioners who want to harness state-of-the-art LLMs for real-world data analysis tasks using Python. This book takes you from foundational concepts to production-ready systems, covering prompt ...