Название: Python 3 Data Visualization Using ChatGPT / GPT-4Автор: Oswald Campesato
Издательство: Mercury Learning and Information
Год: 2024
Страниц: 314
Язык: английский
Формат: pdf (true)
Размер: 20.4 MB
This book is designed to show readers the concepts of Python 3 programming and the art of data visualization. It also explores cutting-edge techniques using ChatGPT/GPT-4 in harmony with Python for generating visuals that tell more compelling data stories. Chapter 1 introduces the essentials of Python, covering a vast array of topics from basic data types, loops, and functions to more advanced constructs like dictionaries, sets, and matrices. In Chapter 2, the focus shifts to NumPy and its powerful array operations, leading into data visualization using prominent libraries such as Matplotlib. Chapter 6 includes Seaborn's rich visualization tools, offering insights into datasets like Iris and Titanic. Further, the book covers other visualization tools and techniques, including SVG graphics, D3 for dynamic visualizations, and more. Chapter 7 covers information about the main features of ChatGPT and GPT-4, as well as some of their competitors. Chapter 8 contains examples of using ChatGPT in order to perform data visualization, such as charts and graphs that are based on datasets (e.g., the Titanic dataset). Companion files with code, datasets, and figures are available for downloading. From foundational Python concepts to the intricacies of data visualization, this book is ideal for Python practitioners, data scientists, and anyone in the field of data analytics looking to enhance their storytelling with data through visuals. It's also perfect for educators seeking material for teaching advanced data visualization techniques.
Features:
- Explores cutting-edge techniques using ChatGPT/GPT-4 in harmony with Python for generating visuals that tell more compelling data stories
- Contains detailed tutorials that guide you through the creation of complex visuals
- Tackles actual data scenarios and builds your expertise as you apply learned concepts to real datasets
- Features data manipulation and cleaning with Pandas to prepare flawless datasets ready for visualization
- Includes companion files with source code, data sets, and figures.
The target audience:
This book is intended primarily for people who have worked with Python and are interested in learning about graphics effects with Python libraries. This book is also intended to reach an international audience of readers with highly diverse backgrounds in various age groups. Consequently, this book uses standard English rather than colloquial expressions that might be confusing to those readers. This book provides a comfortable and meaningful learning experience for the intended readers.
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