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)

Using the file command

Once the data is done downloading, let's take a look and see what we've got. Go ahead and run ls -al amazon* to make sure the files actually downloaded:

If you have anything else in this directory named amazon, that will show up as well. Now that the files are downloaded, let's introduce a new command, called file. Go ahead and run the following file amazon* command:

Wow, without any parameters set, the file command was able to figure out that this is a compressed archive. You'll use the file command a lot to determine the type of files you're working with. Let's decompress the files so we can work with them. This might take a little bit, depending on the speed of your system.

To do so, run the following:

zcat amazon_reviews_us_Digital_Ebook_Purchase_v1_00.tsv.gz >> amazon_reviews_us_Digital_Ebook_Purchase_v1_00.tsv...