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)

Shell Workflows, and Data Acquisition and Massaging

In this chapter, we're going to work on an actual dataset and do some basic analysis. We'll learn how to download files straight from the command line, determine what type of file it is, and parse the data using a number of commands. We'll also cover how to perform non-interactive detached processing and review some common terminal multiplexers that enable us to prettify the command line as well as organize detached processing.

In this chapter, we'll cover the following topics:

  • How to download a dataset using the command line
  • Using built-in tools to inspect the data and its type
  • How to perform a word count in bash
  • Analyzing a dataset with some simple commands
  • Detached processing
  • Terminal multiplexers