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)

Keys to the kingdom

Now that we can explore data with the command line and have mastered transforming text, we'll provide you with the keys to the kingdom. SQLite is a public domain library that implements a SQL engine and provides a sqlite command shell for interacting with database files. Unlike Oracle, MySQL, and other database engines that provide a network endpoint, sqlite is offline and locally driven by library calls to interact with a single file that is the entire database. This makes backups easy. Backups can be created by doing cp database.sq3 backups/`date +%F`-database.sq3. One can version control it, but that's unlikely to compress well with delta comparisons.

Using SQLite

Easy import of CSV files ...