Learn Python 3 and advanced data visualization techniques using Pandas, Matplotlib, and Seaborn. Ideal for Python enthusiasts and data scientists.

Key Features

Comprehensive Python 3 basics

Detailed data visualization techniques

Hands-on code samples and exercises

Book Description

Python 3 and Data Visualization provides an in-depth exploration of Python 3 programming and data visualization techniques. The course begins with an introduction to Python, covering essential topics from basic data types and loops to advanced constructs such as dictionaries and matrices. This foundation prepares readers for the next section, which focuses on NumPy and its powerful array operations, seamlessly leading into data visualization using prominent libraries like Matplotlib. Chapter 6 delves into Seaborn's rich visualization tools, providing insights into datasets like Iris and Titanic. The appendix covers additional visualization tools and techniques, including SVG graphics and D3 for dynamic visualizations. The companion files include numerous Python code samples and figures, enhancing the learning experience. From foundational Python concepts to advanced data visualization techniques, this course serves as a comprehensive resource for both beginners and seasoned professionals, equipping them with the necessary skills to effectively visualize data.

What you will learn

Master Python 3 basics

Implement data visualization

Use NumPy for data manipulation

Create visualizations with Matplotlib

Handle data with Pandas

Explore Seaborn for advanced plots

Who this book is for

Ideal for Python programmers and data scientists looking to enhance their data visualization skills. Readers should have basic knowledge of Python and a keen interest in data visualization. No advanced programming skills are required, but familiarity with programming concepts is beneficial.