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Python 3 Data Visualization Using Google Gemini.
- Format:
- Book
- Author/Creator:
- Campesato, Oswald.
- Series:
- MLI Generative AI Series
- Language:
- English
- Subjects (All):
- Information visualization.
- Python (Computer program language).
- Physical Description:
- 1 online resource (201 pages)
- Edition:
- 1st ed.
- Place of Publication:
- Bloomfield : Mercury Learning & Information, 2024.
- Summary:
- This book, authored by Oswald Campesato, provides a comprehensive guide to data visualization using Python 3 and Google technologies. It covers the installation and utilization of Python tools, such as easy_install, pip, and virtual environments, and delves into data manipulation with libraries like NumPy and Matplotlib. The book also explores advanced data visualization techniques with Seaborn and discusses the application of generative AI technologies like Bard and Gemini. Aimed at programmers and data analysts, the book offers practical examples and code samples to enhance understanding of data visualization processes. Generated by AI.
- Contents:
- Cover
- Title Page
- Copyright Page
- Dedication
- Contents
- Preface
- Chapter 1: Introduction to Python
- Tools for Python
- easy_install and pip
- virtualenv
- IPython
- Python Installation
- Setting the PATH Environment Variable (Windows Only)
- Launching Python on Your Machine
- The Python Interactive Interpreter
- Python Identifiers
- Lines, Indentation, and Multi-Line Comments
- Quotations and Comments in Python
- Saving Your Code in a Module
- Some Standard Modules in Python
- The help() and dir() Functions
- Compile Time and Runtime Code Checking
- Simple Data Types
- Working with Numbers
- Working with Other Bases
- The chr() Function
- The round() Function
- Formatting Numbers
- Working with Fractions
- Unicode and UTF-8 Generated by AI.
- Notes:
- Description based on publisher supplied metadata and other sources.
- Part of the metadata in this record was created by AI, based on the text of the resource.
- ISBN:
- 9781501519796
- 1501519794
- OCLC:
- 1427662897
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