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by Graham Williams
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More GNU Software

20190630 You will see in the list that many of these GNU tools are command line tools, which is the source of the power of Unix and Linux for developers. There are though many also that are GUI-based and end user focused, including Gnome, KDE, The Gimp, and Gnumeric.

Package Description
   
gimp A sophisticated graphical image manipulation application.
gnome The GNU desktop which provides a consistent graphical user interface for common applications including everything from spreadsheets to mail clients, and more.
gnumeric A spreadsheet.
gphoto A graphical application for retrieving, organising, and publishing images in various graphics formats, from a range of supported digital cameras.
gnupg A complete implementation of the OpenPGP Internet standard for providing pretty good protection through encryption.
gtk A GUI toolkit for the X Window System. All Gnome packages use this toolkit for their consistent look and feel.
gzip GNU's program for compressing and decompressing files.
kde An alternative, and very popular desktop which provides a consistent graphical user interface for common applications including everything from spreadsheets to mail clients, and more.
less A display paginator similar to `more' and `pg', but with various features (such as the ability to scroll backwards) that most pagers lack.
mtools Programs to allow Unix systems to read, write, and manipulate files on a DOS file system (typically a diskette).
r A system for statistical computation and graphics.
shellutils Useful command line utilities including `basename', `date', `dirname', `echo', `groups', `hostname', `printf', `pwd', `uname', `uptime', `users', `who', and `whoami'.
tar An archive utility.
textutils A set of utilities for manipulating text.
time A utility to report on the time taken to execute other programs.
wget A non-interactive web browser to retrieve files from the Internet using HTTP and FTP. See Chapter 98.16 for details.


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Books available on Amazon include Data Mining with Rattle and Essentials of Data Science.
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