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)

Download the data

Now that we have an understanding of the command line, let's do something cool with it! Say we had a couple datasets full of book reviews from Amazon, and we wanted to only view the reviews about Packt Publishing. First, let's go ahead and grab the data (if you are using the Docker container, the data is located in /data):

curl -O && curl -O

You should see the following:

We are introducing a couple of new commands and features here to download the files. First, we call the curl command to download the file. You can run curl --help to view all of the options available, or man curl, but we wanted to download a remote file and save it as the original...