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)

Who this book is for

Hands-On Data Science with the Command Line provides useful tips and tricks on how to use the command line for everyday data problems. This book is aimed for the reader that has little to no command-line experience but has worked in the field of computer science and/or has experience with modern data science problems.

You'll learn how to set up the command line on multiple platforms and configure it to your liking, learn how to find help with commands, and learn how to create reusable scripts. You will also learn how to obtain an actual dataset, perform some analytics, and learn how to visualize the data. Towards the end of the book, we touch on some of the advanced features of the command line and where to go from there.

In addition, all of the code examples are available to download in Packt's GitHub account. Any updates to this book will be made available to you by the Packt platform.