
Google Gemini for Python
Coding with Bard
Oswald Campesato(Author)
De Gruyter (Publisher)
1st Edition
Will be published approx. on 1. April 2024
Book
Paperback/Softback
192 pages
978-1-5015-2274-1 (ISBN)
Description
This book provides a bridge between the worlds of Python 3 programming and Generative AI, aiming to equip readers with the skills to navigate both domains with confidence. It begins with an introduction to fundamental aspects of Python programming, which include various data types, number formatting, Unicode and UTF-8 handling, and text manipulation techniques. In addition, you will learn about loops, functions, data structures, NumPy, Pandas, conditional logic, and reserved words in Python. Further chapters show how to handle user input, manage exceptions, and work with command-line arguments. The text then transitions to the realm of Generative AI, discussing its distinction from Conversational AI. Popular platforms and models, including Bard (now called "Gemini") and its competitors, are presented to give readers an understanding of the current AI landscape. The book discusses the capabilities of Bard, its strengths, weaknesses, and potential applications. Finally, you will learn how to generate a variety of Python 3 code samples via Bard.
More details
Series
Edition
1. Auflage
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
US School Grade: College Graduate Student
Product notice
Klappenbroschur
Dimensions
Height: 229 mm
Width: 152 mm
Thickness: 12 mm
Weight
304 gr
ISBN-13
978-1-5015-2274-1 (9781501522741)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

E-Book
03/2024
1st Edition
De Gruyter
from
€49.95
Available for download

E-Book
03/2024
1st Edition
Mercury Learning and Information
from
€49.95
Available for download
Person
Oswald Campesato (San Francisco, CA) specializes in Deep Learning, Python, and GPT-4. He is the author/co-author of over forty books including Python 3 Data Visualization Using ChatGPT / GPT-4, NLP for Developers, and Artificial Intelligence, Machine Learning and Deep Learning (all Mercury Learning).
Content
1:Introduction to Python 3
2: Conditional Logic, Loops, and Functions
3: PythonData Structures
4:Introduction to NumPy and Pandas
5: Generative AI, Bard, and Gemini
6: Bardand Python Code
Index
2: Conditional Logic, Loops, and Functions
3: PythonData Structures
4:Introduction to NumPy and Pandas
5: Generative AI, Bard, and Gemini
6: Bardand Python Code
Index