As a data scientist, I'm sure you do a lot of work with Python and Scala or have at least heard of those two languages. Two of our favorite shell replacements are Xonsh and Ammonite. Xonsh (https://xon.sh/) is a Python-powered shell that uses Python 3.4, and Ammonite (http://ammonite.io/) is a Scala-powered shell that uses Scala 2.11.7 (both versions are at time of writing). If you find yourself using a lot of Python or Scala in your day-to-day work, we recommend checking those shell replacements out as well after you've mastered the command line using bash.
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Hands-On Data Science with the Command Line
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Hands-On Data Science with the Command Line
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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)
Preface
Free Chapter
Data Science at the Command Line and Setting It Up
Essential Commands
Shell Workflows, and Data Acquisition and Massaging
Bash Functions and Data Visualization
Loops, Functions, and String Processing
SQL, Math, and Wrapping it up
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