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)


In this chapter, we only scratched the surface on what we can do with the command line. We were able to download a dataset, save it, inspect the file type, and perform some simple analytics. The word count example is considered the "Hello, World" of data science and we saw just how easy it is to perform in bash.

We then took your shell customization to the next level by using terminal multiplexers and background processes. Think of it like using an IDE, but for the command line. It will make working with bash a lot easier.

Being able to control processes and workflows will improve productivity. Detached processing ensures programs can complete without interruption. The terminal multiplexer provides a means of maximizing the use of screen real-estate, while also providing a detached processing environment, which is a double win for all.

In the next chapter, we...