Python 3 Data Visualization Using Google Gemini

1. Auflage 2024
ISBN: 978-1-5015-2280-2
Verlag: De Gruyter

Buch, Englisch, 184 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 301 g

Reihe: MLI Generative AI Series

This book offers a comprehensive guide to leveraging Python-based data visualization techniques with the innovative capabilities of Google Gemini. Tailored for individuals proficient in Python seeking to enhance their visualization skills, it explores essential libraries like Pandas, Matplotlib, and Seaborn, along with insights into the innovative Gemini platform. With a focus on practicality and efficiency, it delivers a rapid yet thorough exploration of data visualization methodologies, supported by Gemini-generated code samples. Companion files with source code and figures are available for downloading.

FEATURES: - Covers Python-based data visualization libraries and techniques

- Includes practical examples and Gemini-generated code samples for efficient learning

- Integrates Google Gemini for advanced data visualization capabilities

- Sets up a conducive development environment for a seamless coding experience

- Includes companion files for downloading with source code and figures

Autoren/Hrsg.

Campesato, Oswald

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsvisualisierung

Über Autor(innen)

Oswald Campesato 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).