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)

My first shell script

Our first shell script will cover the basics of how to tell the computer to run the shell script.

She bangs, she bangs!

We're not talking about that popular Ricky Martin song. We're talking about what every bash script needs in order to run. If you've worked with other programming languages, you may have noticed the first line always starts with a #!. This tells the system which interpreter to use. For example, if you've worked with Python before, you've probably seen #!/usr/bin/env python2.7 in a script. With bash, it's no different. Let's go ahead and create a new file named and enter the following:

# A function to greet everyone