Beginning Python 3 with Grok 2
prosinec 2024 · Walter de Gruyter GmbH & Co KG
E‑kniha
310
Stránky
reportHodnocení a recenze nejsou ověřeny Další informace
Podrobnosti o e‑knize
This book is a comprehensive guide designed to teach the fundamentals of Python programming while introducing the exciting possibilities of Generative AI. Whether you’re a novice or a developer looking to integrate Grok into your workflow, this book offers a clear, step-by-step path to mastering Python and leveraging AI-driven code generation. It begins by covering Python fundamentals, including data types, string manipulation, loops, conditional logic, and exception handling. It then introduces Python collections, such as lists, dictionaries, and sets, along with their practical applications. Readers will explore essential Python libraries like NumPy and Pandas, learning how to manipulate data and perform advanced operations. The last two chapters cover Generative AI and Grok, distinguishing it from conversational AI and provides hands-on examples of Grok-generated Python code to solve various programming tasks. Readers will find a balanced mix of theory, practical examples, and Grok-generated code to build both foundational programming skills and an understanding of AI-driven development.
FEATURES
• Covers Python programming basics and popular libraries like NumPy and Pandas, with a focus on practical applications
• Introduces Generative AI concepts and Grok, showcasing its use in generating Python code
• Includes companion files with code and images -- available from the publisher for downloading (with proof of purchase)
FEATURES
• Covers Python programming basics and popular libraries like NumPy and Pandas, with a focus on practical applications
• Introduces Generative AI concepts and Grok, showcasing its use in generating Python code
• Includes companion files with code and images -- available from the publisher for downloading (with proof of purchase)
O autorovi
Oswald Campesato (San Francisco, CA) specializes in Deep Learning, Python, Data Science, and Generative AI. He is the author/co-author of over forty-five books including Google Gemini for Python, Large Language Models, and GPT-4 for Developers (all Mercury Learning).
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