Mastering Linux
Wang, Paul S.
Verkäufer BooksRun, Philadelphia, PA, USA
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Verkäuferbewertung 5 von 5 Sternen
AbeBooks-Verkäufer seit 2. Februar 2016
Anzahl: 1 verfügbar
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Bibliografische Details
Titel: Mastering Linux
Verlag: Chapman and Hall/CRC (edition 1)
Erscheinungsdatum: 2010
Einband: Paperback
Zustand: Good
Auflage: 1.
Über diesen Titel
Encouraging hands-on practice, Mastering Linux provides a comprehensive, up-to-date guide to Linux concepts, usage, and programming. Through a set of carefully selected topics and practical examples, the book imparts a sound understanding of operating system concepts and shows how to use Linux effectively.
Ready-to-Use Examples Offer Immediate Access to Practical Applications
After a primer on the fundamentals, the text covers user interfaces, commands and filters, Bash Shell scripting, the file system, networking and Internet use, and kernel system calls. It presents many examples and complete programs ready to run on your Linux system. Each chapter includes a summary and exercises of varying degrees of difficulty.
Web Resource
The companion website at http://ml.sofpower.com/ offers a host of ancillary materials. Along with links to numerous resources, it includes appendices on SSH and SFTP, VIM, text editing with Vi, and the emacs editor. The site also provides a complete example code package for download.
Master the Linux Operating System Toolbox
This book enables you to leverage the capabilities and power of the Linux system more effectively. Going beyond this, it can help you write programs at the shell and C levels―encouraging you to build new custom tools for applications and R&D.
Paul S. Wang is a professor of computer science and a director of research in the Institute for Computational Mathematics at Kent State University. In 2001, he received the Ohio Governor’s Award for University Faculty Entrepreneurship. A leading expert in symbolic and algebraic computation (SAC), Dr. Wang has conducted over forty research projects funded by government and industry. His main research interests include polynomial algorithms, parallel and distributed SAC, Internet-accessible mathematical computation, and enabling technologies for web-based mathematics education. He earned his Ph.D. from MIT.
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