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


20190705 The enjoyment of one's tools is an essential ingredient of successful work.
Donald E. Knuth

Welcome to the world of GNU/Linux. This is more than a computer operating system. It is an ecosystem for humanity to share experiences through the freedom of open source. The freedom is the freedom to do as you want with the software that we contribute to the ecosystem, with very few, and ideally no, restrictions.

The aim of this book is to quickly get you up to speed with GNU/Linux, and to deliver the excitement of a fun and productive environment for interacting with our devices. GNU/Linux is a complete and mature operating system that can completely replace Microsoft's Windows on most computers. If you are limited to using Microsoft Windows, then Microsoft's Windows Subsystem for Linux opens up the GNU/Linux experience within Microsoft's Windows/10, providing a full GNU/Linux experience.

This book guides you through the many different regions of a GNU/Linux system with a focus on getting your computer environment to do what you want it to do. It is comprehensive with basic support for the user who installs and maintains the system themselves (whether in the home, office, club, school, or enterprise). It provides insights and step-by-step procedures that deal with specific tasks in setting your system up and maintaining it.

The book covers many of the core features of a GNU/Linux system that give you the power to do whatever you want. You will gain the knowledge to enjoy and use one of the most comprehensive and useful developments in the history of computing, as well as the most widely used operating system ever (yes, Android runs the Linux operating system).

The basis of our ecosystem here is one of freedom, the freedom to choose, the freedom to share, the freedom to contribute, the freedom to live.

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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.