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Google Gemini for Python. Coding with Bard: Mastering Python with Google's AI Tools Mercury Learning and Information, Oswald Campesato

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Google Gemini for Python. Coding with Bard: Mastering Python with Google's AI Tools Mercury Learning and Information, Oswald Campesato - okladka książki

Google Gemini for Python. Coding with Bard: Mastering Python with Google's AI Tools Mercury Learning and Information, Oswald Campesato - okladka książki

Autorzy:
Mercury Learning and Information, Oswald Campesato
Serie wydawnicze:
Quick Start Guide
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
203
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This book bridges Python 3 programming and Generative AI, equipping readers with the skills to navigate both domains confidently. It starts with Python basics, covering data types, number formatting, text manipulation, loops, functions, data structures, NumPy, Pandas, conditional logic, and reserved words. You'll also learn about handling user input, managing exceptions, and working with command-line arguments.
The journey continues into Generative AI, distinguishing it from Conversational AI. It introduces popular platforms and models, including Bard (now called Gemini) and its competitors, providing insights into their capabilities, strengths, weaknesses, and applications. The final chapters show how to generate various Python 3 code samples using Gemini.
Understanding these concepts is crucial for modern programming and AI applications. This book transitions readers from basic Python programming to advanced AI techniques, blending theoretical knowledge with practical skills. Companion files with source code and figures enhance the learning experience, making this an essential resource for mastering Python 3 and Generative AI.

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O autorach książki

MERCURY LEARNING and INFORMATION publishes content in the areas of science and medicine, technology and computing, engineering, and mathematics designed for the professional/reference, trade, library, higher education, career school, and online training markets.
Oswald Campesato specializes in Deep Learning, Python, Data Science, and generative AI. He is the author/co-author of over forty books including Google Gemini for Python, Data Cleaning, and GPT-4 for Developers (all Mercury Learning).

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