October 2014
Beginner to intermediate
210 pages
4h 32m
English
Content preview from Data Science at the Command Line
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Chapter 2. Getting Started
In this chapter, we are going to make sure that you have all the prerequisites for doing data science at the command line. The prerequisites fall into two parts: (1) having a proper environment with all the command-line tools that we employ in this book, and (2) understanding the essential concepts that come into play when using the command line.
First, we describe how to install the Data Science Toolbox, which is a virtual environment based on GNU/Linux that contains all the necessary command-line tools. Subsequently, we explain the essential command-line concepts through examples.
By the end of this chapter, you’ll have everything you need in order to continue with the first step of doing data science, namely obtaining data.
Overview
In this chapter, you’ll learn:
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How to set up the Data Science Toolbox
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Essential concepts and tools necessary to do data science at the command line
Setting Up Your Data Science Toolbox
In this book we use many different command-line tools. The distribution of GNU/Linux that we are using, Ubuntu, comes with a whole bunch of command-line tools pre-installed. Moreover, Ubuntu offers many packages that contain other, relevant command-line tools. Installing these packages yourself is not too difficult. However, we also use command-line tools that are not available as packages and require a more manual, and more involved, installation. In order to acquire the necessary command-line tools without having to go through ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.