Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Learn Linux in a Month of Lunches

Buy

Summary

Learn Linux in a Month of Lunches shows you how to install and use Linux for all the things you do with your OS, like connecting to a network, installing software, and securing your system. Whether you're just curious about Linux or have to get up and running for your job, you'll appreciate how this book concentrates on the tasks you need to know how to do in 23 easy lessons.

About the Technology

If you've only used Windows or Mac OS X, you may be daunted by the Linux operating system. And yet learning Linux doesn't have to be hard, and the payoff is great. Linux is secure, flexible, and free. It's less susceptible to malicious attacks, and when it is attacked, patches are available quickly. If you don't like the way it looks or behaves, you can change it. And best of all, Linux allows users access to different desktop interfaces and loads of software, almost all of it completely free.

About the Book

Learn Linux in a Month of Lunches shows you how to install and use Linux for all the things you do with your OS, like connecting to a network, installing software, and securing your system. Whether you're just curious about Linux or need it for your job, you'll appreciate how this book focuses on just the tasks you need to learn. In easy-to-follow lessons designed to take an hour or less, you'll learn how to use the command line, along with practical topics like installing software, customizing your desktop, printing, and even basic networking. You'll find a road map to the commands and processes you need to be instantly productive.

What's Inside

  • Master the command line
  • Learn about file systems
  • Understand desktop environments
  • Go from Linux novice to expert in just one month

About the Reader

This book is for anyone looking to learn how to use Linux. No previous Linux experience required.

About the Author

Steven Ovadia is a professor and librarian at LaGuardia Community College, CUNY. He curates The Linux Setup, a large collection of interviews with desktop Linux users, and writes for assorted library science journals.

(HTML tags aren't allowed.)

Well-Posed Linear Systems (Encyclopedia of Mathematics and its Applications)
Well-Posed Linear Systems (Encyclopedia of Mathematics and its Applications)
This main purpose of this book is to present the basic theory of well-posed
linear systems in a form which makes it available to a larger audience, thereby
opening up the possibility of applying it to a wider range of problems. Up to
now the theory has existed in a distributed form, scattered between different
papers with
...
Matrix Algorithms, Volume II: Eigensystems
Matrix Algorithms, Volume II: Eigensystems
This book, Eigensystems, is the second volume in a projected five-volume series entitled Matrix Algorithms. The first volume treated basic decompositions. The three following this volume will treat iterative methods for linear systems, sparse direct methods, and special topics, including fast algorithms for structured matrices.

My
...
A First Course in Fourier Analysis
A First Course in Fourier Analysis

This unique book provides a meaningful resource for applied mathematics through Fourier analysis. It develops a unified theory of discrete and continuous (univariate) Fourier analysis, the fast Fourier transform, and a powerful elementary theory of generalized functions and shows how these mathematical ideas can be used to study sampling...


Linear Algebra and Geometry
Linear Algebra and Geometry

This book is the result of a series of lectures on linear algebra and the geometry of multidimensional spaces given in the 1950s through 1970s by Igor R. Shafarevich at the Faculty of Mechanics and Mathematics of Moscow State University.

Notes for some of these lectures were preserved in the faculty library, and these were used...
Matrix Computations (Johns Hopkins Studies in the Mathematical Sciences)
Matrix Computations (Johns Hopkins Studies in the Mathematical Sciences)

The fourth edition of Gene H. Golub and Charles F. Van Loan's classic is an essential reference for computational scientists and engineers in addition to researchers in the numerical linear algebra community. Anyone whose work requires the solution to a matrix problem and an appreciation of its mathematical properties will find this book...

Practical Data Science with R
Practical Data Science with R

Summary

Practical Data Science with R lives up to its name. It explains basic principles without the theoretical mumbo-jumbo and jumps right to the real use cases you'll face as you collect, curate, and analyze the data crucial to the success of your business. You'll apply the R programming language...

©2020 LearnIT (support@pdfchm.net) - Privacy Policy