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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
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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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Summary

In this chapter, we only scratched the surface on what we can do with the command line. We were able to download a dataset, save it, inspect the file type, and perform some simple analytics. The word count example is considered the "Hello, World" of data science and we saw just how easy it is to perform in bash.

We then took your shell customization to the next level by using terminal multiplexers and background processes. Think of it like using an IDE, but for the command line. It will make working with bash a lot easier.

Being able to control processes and workflows will improve productivity. Detached processing ensures programs can complete without interruption. The terminal multiplexer provides a means of maximizing the use of screen real-estate, while also providing a detached processing environment, which is a double win for all.

In the next chapter, we...

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