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)

What this book covers

Chapter 1, Data Science at the Command line and Setting It up, covers how to install and configure the command line on multiple platforms of your choosing.

Chapter 2, Essential Commands, is a hands-on demo on using the basics of the command line and where to find help if needed.

Chapter 3, Shell Workflows, and Data Acquisition and Massaging, really gets into performing some basic data science exercises with a live dataset and customizing your command-line environment as you see fit.

Chapter 4, Reusable Bash and Developing Reusable Code in Bash, builds on the previous chapters and gets more advanced with creating reusable scripts and visualizations.

Chapter 5, Loops, Functions, and String Processing, is an advanced hands-on exercise on iterating over data using loops and exploring with regular expressions.

Chapter 6, SQL, Math, and Wrapping it up, is an advanced hands-on exercise to use what you've learned over the last chapters, and we introduce databases, streaming, and working with APIs.