Throughout this book, we will be using Python 3.5 (or higher). As a general-purpose programming language, Python has become the main tool for data scientists thanks to its useful built-in features and renowned libraries.
For this introductory chapter, we will only use two cornerstone libraries—NumPy and Matplotlib. They can be found at and installed from www.numpy.org and matplotlib.org. However, we recommend using Anaconda (www.anaconda.com), a free Python distribution that makes package management and deployment easy.
Complete installation instructions—as well as all the code presented alongside this chapter—can be found in the GitHub repository at github.com/PacktPublishing/Hands-On-Computer-Vision-with-TensorFlow2/tree/master/Chapter01.
We assume that our readers already have some knowledge of Python and a basic understanding of...
