List of Command-Line Tools - Data Science at the Command Line - page 181

unpack
Extract common file formats. Unpack by Patrick Brisbin (2013). https://github.com/
jeroenjanssens/data-science-at-the-command-line .
$ git clone https://github.com/jeroenjanssens/data-science-at-the-command-
line.git
$ unpack file.tgz
unrar
Extract files from RAR archives. Unrar (version 1:0.0.1+cvs20071127) by Ben Assels‐
tine, Christian Scheurer, and Johannes Winkelmann (2014). http://home.gna.org/
unrar .
$ sudo apt-get install unrar-free
$ man unrar
unzip
List, test and extract compressed files in a ZIP archive. Unzip (version 6.0) by Samuel
H. Smith (2009).
$ sudo apt-get install unzip
$ man unzip
wc
Print newline, word, and byte counts for each file. Wc (version 8.21) by Paul Rubin
and David MacKenzie (2012). http://www.gnu.org/so ​ ware/coreutils .
$ sudo apt-get install coreutils
$ man wc
$ echo 'hello world' | wc -c
12
weka
Weka is a collection of machine learning algorithms for data mining tasks by Mark
Hall, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, and Ian
H. Witten. This command-line tool allows you to run Weka from the command line.
Weka command-line tool by Jeroen H.M. Janssens (2014). https://github.com/jeroen
janssens/data-science-at-the-command-line .
$ git clone https://github.com/jeroenjanssens/data-science-at-the-command-
line.git