Book Image

Hands-On Data Science with the Command Line

By : Jason Morris, Chris McCubbin, Raymond Page
Book Image

Hands-On Data Science with the Command Line

By: Jason Morris, Chris McCubbin, Raymond Page

Overview of this book

The Command Line has been in existence on UNIX-based OSes in the form of Bash shell for over 3 decades. However, very little is known to developers as to how command-line tools can be OSEMN (pronounced as awesome and standing for Obtaining, Scrubbing, Exploring, Modeling, and iNterpreting data) for carrying out simple-to-advanced data science tasks at speed. This book will start with the requisite concepts and installation steps for carrying out data science tasks using the command line. You will learn to create a data pipeline to solve the problem of working with small-to medium-sized files on a single machine. You will understand the power of the command line, learn how to edit files using a text-based and an. You will not only learn how to automate jobs and scripts, but also learn how to visualize data using the command line. By the end of this book, you will learn how to speed up the process and perform automated tasks using command-line tools.
Table of Contents (8 chapters)

Summary

The command line has a long history, and it can be quite foreign to newcomers. In this chapter, we covered the environment setup steps so that you can follow along with the examples in this book. Essential commands will introduce what you need to succeed, followed by acquiring datasets that we can play with. We will cover all the shell magic, such as background processes, writing shell functions, basic shell control-flow constructs, visualizing results, processing strings, simulating database functionality, simple math constructs, and finally a synthesis of all of these in a penultimate chapter of magical fascination.

Everything you need to explore the rest of the book is now installed and configured. As you saw, the command line can run on pretty much anything, which makes it an invaluable tool to have in your toolkit.

In the next chapter, we will use our newly-installed command-line environment to run some essential commands, learn how to customize the shell, and look at how to use the built-in help when we get stuck.