Chapter 1. Getting Up to Speed

Over the past 12 years of its existence, matplotlib has made its way into the classrooms, labs, and hearts of the scientific computing world. With Python's rise in popularity for serious professional and academic work, matplotlib has taken a respected seat beside long-standing giants such as Mathematica by Wolfram Research and MathWorks' MATLAB products. As such, we feel that the time is ripe for an advanced text on matplotlib that guides its more sophisticated users into new territory by not only allowing them to become experts in their own right, but also providing a clear path that will help them apply their new knowledge in a number of environments.

As a part of a master class series by Packt Publishing, this book focuses almost entirely on a select few of the most requested advanced topics in the world of matplotlib, which includes everything from matplotlib internals to high-performance computing environments. In order to best support this, we want to make sure that our readers have a chance to prepare for the material of this book, so we will start off gently.

The topics covered in this chapter include the following: