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Introduction to Shell

4.6+
64 reviews
Beginner

The Unix command line helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds.

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4 Hours55 Exercises
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Course Description

The Unix command line has survived and thrived for almost 50 years because it lets people do complex things with just a few keystrokes. Sometimes called "the universal glue of programming," it helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds that may be halfway around the world. This course will introduce its key elements and show you how to use them efficiently.
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In the following Tracks

Associate Python Developer

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Professional Data Engineer in Python

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  1. 1

    Manipulating files and directories

    Free

    This chapter is a brief introduction to the Unix shell. You'll learn why it is still in use after almost 50 years, how it compares to the graphical tools you may be more familiar with, how to move around in the shell, and how to create, modify, and delete files and folders.

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    How does the shell compare to a desktop interface?
    50 xp
    Where am I?
    50 xp
    How can I identify files and directories?
    50 xp
    How else can I identify files and directories?
    100 xp
    How can I move to another directory?
    100 xp
    How can I move up a directory?
    50 xp
    How can I copy files?
    100 xp
    How can I move a file?
    100 xp
    How can I rename files?
    100 xp
    How can I delete files?
    100 xp
    How can I create and delete directories?
    100 xp
    Wrapping up
    100 xp
  2. 5

    Creating new tools

    History lets you repeat things with just a few keystrokes, and pipes let you combine existing commands to create new ones. In this chapter, you will see how to go one step further and create new commands of your own.

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GroupTraining 2 or more people?

Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and more

In the following Tracks

Associate Python Developer

Go To Track

Machine Learning Engineer

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Professional Data Engineer in Python

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In other tracks

R Developer

Collaborators

Collaborator's avatar
Greg Wilson
Filip Schouwenaars HeadshotFilip Schouwenaars

Data Science Instructor at DataCamp

Filip is the passionate developer behind several of DataCamp's most popular Python, SQL, and R courses. Currently, Filip leads the development of DataCamp Workspace, a collaborative data science notebook. Under the motto 'Eat your own dog food', he uses Workspace to understand how users learn on and interact with DataCamp. Filip holds degrees in Electrical Engineering and Artificial Intelligence.
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Don’t just take our word for it

*4.6
from 64 reviews
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  • Anique K.
    7 days

    It was a really good course. The only thing I would add is some shortcuts to working with nano, especially for copying and pasting content from outside of nano into nano.

  • Karoline L.
    11 days

    What I like the most is that the course provide coding while learning

  • Nico H.
    2 months

    Nice introduction to Shell commands.

  • Melvin A.
    3 months

    Enough Details was provided

  • Lyndon H.
    3 months

    This was a nostalgic reminder of what I used to do in my UNIX days.

"It was a really good course. The only thing I would add is some shortcuts to working with nano, especially for copying and pasting content from outside of nano into nano."

Anique K.

"What I like the most is that the course provide coding while learning"

Karoline L.

"Nice introduction to Shell commands."

Nico H.

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