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Hands-On Data Science with the Command Line

You're reading from   Hands-On Data Science with the Command Line Automate everyday data science tasks using command-line tools

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781789132984
Length 124 pages
Edition 1st Edition
Languages
Tools
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Authors (3):
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Jason Morris Jason Morris
Author Profile Icon Jason Morris
Jason Morris
Raymond Page Raymond Page
Author Profile Icon Raymond Page
Raymond Page
Chris McCubbin Chris McCubbin
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Chris McCubbin
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Toc

Getting set up on Ubuntu Linux

Ubuntu has a full built-in command-line shell and typically uses bash as the default shell. Different window managers have slightly different ways of opening a Terminal window. For example, in the image of Ubuntu 17.10 Artful (located at https://www.osboxes.org/ubuntu/), open the Terminal by clicking on Activities in the upper-left corner and typing terminal in the dialog:

This will bring up a command-line prompt:

As in other bash shells, this shell doesn't have everything installed, so type the following command to install the installers and command-line tools that we will use in this book:

sudo apt update
sudo apt install jq python-pip gnuplot sqlite3 libsqlite3-dev curl netcat bc
pip install pandas

On Ubuntu, this script installs a few installation tools, including pip. It then uses these tools to install the commands that we use in this book that aren't natively installed, namely jq, gnuplot, sqlite, curl, and pandas.

Getting set up with Docker

What if there were a way to obtain an image with all the commands preinstalled and you were able to run it on most major operating systems without any issues? That's exactly what Docker provides, and you can quickly get up and running in a matter of minutes:

  1. Visit https://www.docker.com/community-edition and install the version of Docker for your operating system
  2. Run the following command to obtain the Docker image:
docker run -ivt nextrevtech/commandline-book /bin/bash

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