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  • Book Overview & Buying Hands-On Data Science with the Command Line
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Hands-On Data Science with the Command Line

Hands-On Data Science with the Command Line

By : Morris, McCubbin, Page
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Hands-On Data Science with the Command Line

Hands-On Data Science with the Command Line

5 (3)
By: Morris, McCubbin, 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)
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SQL, Math, and Wrapping it up

Databases are attractive solutions for storing and accessing data. They supply the developer with an API that allows the structured organization of data, the ability to search that data in flexible ways, and the ability to store new data. When a database's capabilities are a requirement, there's often little room left for negotiation; the question is which database and not whether we should use one.

Despite this fact, the Unix command line provides a suite of tools that lets a developer view streams or files in many of the same ways as they would view a database. Given one or more files with data in it, we can use these tools to query that data without ever having to maintain a database or any of the things that go along with it, such as fixed schemas. Often, we can use this method for processing data instead of standing up a database server...

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