Python 3 Data Visualization Using Google Gemini
MLI Generative AI Series Series

Python 3 Data Visualization Using Google Gemini

Oswald Campesato
Paperback
March 2024
9781501522802
More details
  • Publisher
    Mercury Learning and Information
  • Published
    19th March
  • ISBN 9781501522802
  • Language English
  • Pages 184 pp.
  • Size 6" x 9"
$51.99
Add to Cart
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March 2024
9781501519796
More details
  • Publisher
    Mercury Learning and Information
  • Published
    13th March
  • ISBN 9781501519796
  • Language English
  • Pages 184 pp.
  • Size 6" x 9"
$155.00
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March 2024
9781501519833
More details
  • Publisher
    Mercury Learning and Information
  • Published
    13th March
  • ISBN 9781501519833
  • Language English
  • Pages 184 pp.
  • Size 6" x 9"
$51.99
Add to Cart

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

1: Introduction to Python

2: Introduction to NumPy

3: Matplotlib and Visualization

4: Seaborn for Data Visualization

5: Generative AI, Bard, and Gemini

6: Bard and Data Visualization

Index

Oswald Campesato

Oswald Campesato 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).

Python; Bard; Gemini; Google; Pandas; Matplotlib; Seaborn; data visualization; machine learning; data science; computer science