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Data Science at the Command Line, 2nd Edition
book

Data Science at the Command Line, 2nd Edition

by Jeroen Janssens
August 2021
Beginner to intermediate content levelBeginner to intermediate
280 pages
6h 12m
English
O'Reilly Media, Inc.
Content preview from Data Science at the Command Line, 2nd Edition

Appendix. List of Command-Line Tools

This is an overview of all the command-line tools discussed in this book. This includes binary executables, interpreted scripts, and Z Shell builtins and keywords. For each command-line tool, the following information, when available and appropriate, is provided:

  • The actual command to type at the command line

  • A description

  • The version used in the book

  • The year that version was released

  • The primary author(s)

  • A website to find more information

  • How to obtain help

  • An example usage

All command-line tools listed here are included in the Docker image. See Chapter 2 for instructions on how to set it up. Please note that citing open source software is not trivial, and that some information may be missing or incorrect.

alias

Define or display aliases. alias is a Z shell builtin.

$ type alias
alias is a shell builtin
 
$ man zshbuiltins | grep -A 10 alias
 
$ alias l
l='ls --color -lhF --group-directories-first'
 
$ alias python=python3

awk

Pattern scanning and text processing language. awk (version 1.3.4) by Mike D. Brennan and Thomas E. Dickey (2019). More information: https://invisible-island.net/mawk.

$ type awk
awk is /usr/bin/awk
 
$ man awk
 
$ seq 5 | awk '{sum+=$1} END {print sum}'
15

aws

Unified tool to manage AWS services. aws (version 2.1.32) by Amazon Web Services (2021). More information: https://aws.amazon.com/cli.

$ type aws
aws is /usr/local/bin/aws
 
$ aws --help

bash

GNU Bourne-Again Shell. bash (version 5.0.17) by ...

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Publisher Resources

ISBN: 9781492087908Errata PageSupplemental Content