There are many books on Python and data visualization. However, there are very few that can be recommended to somebody who wants to build on the existing knowledge about Python, and there are even fewer that discuss niche techniques to make your code easier to work with and reusable. If you know a few things about Python programming but have an insatiable drive to learn more, this book will show you ways to obtain analytical results and produce amazing visual displays.

This book covers methods to produce analytical results using real-world problems. It is not written for beginners, but if you need clarification, you can follow the suggested reading hints in the book. If this book is your first exposure to Python or data visualization, you will do well to study some introductory texts. My favorite is Introduction to Computer Science and Programming by Professor John Guttag, which is freely available at MIT OpenCourseWare, and Visualize This by Nathan Yau from UCLA.