Ebook: Python 3 and Data Visualization

Python 3 and Data Visualization offers readers a deep dive into the world of Python 3 programming and the art of data visualization. You will learn how to generate graphics using Pandas, Matplotlib, and Seaborn. In addition, an appendix contains SVG-based and D3-based graphics effects, along with links for many additional code samples.

The target audience:
This book is intended primarily for those who have worked with Python and are interested in learning about graphics effects with Python libraries. It is also intended to reach an international audience of readers with highly diverse backgrounds in various age groups. Consequently, the book uses standard English rather than colloquial expressions that might be confusing to those readers. It provides a comfortable and meaningful learning experience for the intended readers.

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, seamlessly leading into the world of data visualization using prominent libraries such as Matplotlib. Chapter 6 immerses the reader in Seaborn's rich visualization tools, offering insights into datasets like Iris and Titanic. The appendix covers other visualization tools and techniques, including SVG graphics, D3 for dynamic visualizations, and more. The book also includes companion files with numerous Python code samples and figures. From foundational Python concepts to the intricacies of data visualization, this book serves as a comprehensive resource for both beginners and seasoned professionals.

Features:
Covers numerous tools for mastering visualization including NumPy, Pandas, SQL, Matplotlib, and Seaborn
Includes an introductory chapter on Python 3 basics
Features companion files with numerous Python code samples and figures

What do i need to know?
Current knowledge of Python 3.x is the most helpful skill. Knowledge of other programming languages (such as Java) can also be helpful because of the exposure to programming concepts and constructs. The less technical knowledge that you have, the more diligence will be required in order to understand the various topics that are covered. As for the non-technical skills, it’s very important to have a strong desire to learn about data visualization, along with the motivation and discipline to read and understand the code samples.