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)

Advanced shell scripting magic

This is the dark magic section of the chapter. It will demonstrate advanced shell scripting by taking the preceding lessons and features, and converting them into what could be considered a small program.

Here be dragons, ye be warned

A simple piece of introductory code is great to get a feel for the flavor of a language, but we're going to introduce some dark magic in the form of some complex utility functions that can be helpful in everyday situations. We'll use a lineinfile function to insert arbitrary text into a file—it's not a full-featured application, just enough to help ensure some simple text is injected into a file. The second function, ncz, leverages bash IP...