Go to TogaWare.com Home Page. GNU/Linux Desktop Survival Guide
by Graham Williams
Duck Duck Go

GNU/Linux Desktop Survival Guide

This book is Copyright and is made available in the hope that it serves as a useful resource for users of Free and Open Source Software, and in particular the Debian and Ubuntu offerings of GNU/Linux. The procedures and applications presented in this book have been included for their instructional value. They have been tested but are not guaranteed for any particular purpose. The publisher, Togaware.com, does not offer any warranties or representations, nor does it accept any liabilities with respect to the programs and applications.

This book is a continual work in progress and it takes a massive effort to keep it updated. Please send corrections, comments, suggestions, updates, and criticisms to Graham.Williams@togaware.com.

A PDF version of this book is available for a small fee which goes towards supporting the development and availability of the book. Please visit https://togaware.com/gnulinux for details of making a financial contribution and to receive the PDF version in return. The HTML version contains the same text and is freely available from https://linux.togaware.com/survivor/.

Printed March 19, 2019


Copyright © 1995-2019 by Graham Williams

This document is released under the terms of the GNU General Public License, version 2 or later (https://www.gnu.org/licenses/gpl.html), or under the terms of the Creative Commons Attribution License, version 2.0 or later (https://creativecommons.org/licenses/by/2.0/), at your option. Permission is granted to copy and distribute this work, with or without modification, in any medium, provided this copyright notice and notice of any changes is attached and the original work is attributed.

ISBN 0-9757109-1-5

Copyright © 1995-2019 Togaware Pty Ltd
Support further development through the purchase of the PDF version of the book.
Brought to you by Togaware and the author of open source software including Rattle and wajig.
Also the author of Data Mining with Rattle and Essentials of Data Science.