In this chapter, we are going to make sure that you have all the prerequisites for doing data science at the command line. The prerequisites fall into two parts: (1) having a proper environment with all the command-line tools that we employ in this book, and (2) understanding the essential concepts that come into play when using the command line.
First, we describe how to install the Data Science Toolbox, which is a virtual environment based on GNU/Linux that contains all the necessary command-line tools. Subsequently, we explain the essential command-line concepts through examples.
By the end of this chapter, you’ll have everything you need in order to continue with the first step of doing data science, namely obtaining data.
In this chapter, you’ll learn:
How to set up the Data Science Toolbox
Essential concepts and tools necessary to do data science at the command line
In this book we use many different command-line tools. The distribution of GNU/Linux that we are using, Ubuntu, comes with a whole bunch of command-line tools pre-installed. Moreover, Ubuntu offers many packages that contain other, relevant command-line tools. Installing these packages yourself is not too difficult. However, we also use command-line tools that are not available as packages and require a more manual, and more involved, installation. In order to acquire the necessary command-line tools without having to go through ...