Price: $41.95
(as of Apr 17, 2024 06:46:44 UTC – Details)
This book is designed to show readers the concepts ofPython 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 with Amazon proof of purchase by writing to info@merclearning.com. 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.
FEATURESExplores cutting-edge techniques using ChatGPT/GPT-4 in harmony with Python for generating visuals that tell more compelling data storiesContains detailed tutorials that guide you through the creation of complex visualsTackles actual data scenarios and builds your expertise as you apply learned concepts to real datasetsFeatures data manipulation and cleaning with Pandas to prepare flawless datasets ready for visualizationIncludes companion files with source code, data sets, and figures(available for downloading with Amazon proof of purchase by writing to info@merclearning.com)TABLE OF CONTENTS
1: Introduction to Python. 2: Introduction to NumPy. 3: Pandas and Data Visualization. 4: Pandas and SQL. 5: Matplotlib and Visualization. 6: Seaborn for Data Visualization. 7: ChatGPT and GPT-4. 8: ChatGPT and Data Visualization. Index.
ABOUT THE AUTHOR
Oswald Campesato (San Francisco, CA) specializes in Deep Learning, Python, and GPT-4. He is the author/co-author of over thirty-five books including Python 3 Using ChatGPT / GPT-4, NLP for Developers, and Artificial Intelligence, Machine Learning and Deep Learning (all Mercury Learning).
ASIN : B0CR4FQJ76
Publisher : Mercury Learning and Information (December 27, 2023)
Publication date : December 27, 2023
Language : English
File size : 6870 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Sticky notes : On Kindle Scribe
Print length : 515 pages
(as of Apr 17, 2024 06:46:44 UTC – Details)
This book is designed to show readers the concepts ofPython 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 with Amazon proof of purchase by writing to info@merclearning.com. 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.
FEATURESExplores cutting-edge techniques using ChatGPT/GPT-4 in harmony with Python for generating visuals that tell more compelling data storiesContains detailed tutorials that guide you through the creation of complex visualsTackles actual data scenarios and builds your expertise as you apply learned concepts to real datasetsFeatures data manipulation and cleaning with Pandas to prepare flawless datasets ready for visualizationIncludes companion files with source code, data sets, and figures(available for downloading with Amazon proof of purchase by writing to info@merclearning.com)TABLE OF CONTENTS
1: Introduction to Python. 2: Introduction to NumPy. 3: Pandas and Data Visualization. 4: Pandas and SQL. 5: Matplotlib and Visualization. 6: Seaborn for Data Visualization. 7: ChatGPT and GPT-4. 8: ChatGPT and Data Visualization. Index.
ABOUT THE AUTHOR
Oswald Campesato (San Francisco, CA) specializes in Deep Learning, Python, and GPT-4. He is the author/co-author of over thirty-five books including Python 3 Using ChatGPT / GPT-4, NLP for Developers, and Artificial Intelligence, Machine Learning and Deep Learning (all Mercury Learning).
ASIN : B0CR4FQJ76
Publisher : Mercury Learning and Information (December 27, 2023)
Publication date : December 27, 2023
Language : English
File size : 6870 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Sticky notes : On Kindle Scribe
Print length : 515 pages