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A handy book for someone just starting with Unix or Linux, and an ideal primer for Mac and PC users of the Internet who need to know a little about Unix on the systems they visit. The most effective introduction to Unix in print, covering Internet usage for email, file transfers, web browsing, and many major and minor updates to help the reader navigate the ever-expanding capabilities of the operating system.
You've experienced the shiny, point-and-click surface of your Linux computer--now dive below and explore its depths with the power of the command line. The Linux Command Line takes you from your very first terminal keystrokes to writing full programs in Bash, the most popular Linux shell (or command line). Along the way you'll learn the timeless skills handed down by generations of experienced, mouse-shunning gurus: file navigation, environment configuration, command chaining, pattern matching with regular expressions, and more. In addition to that practical knowledge, author William Shotts reveals the philosophy behind these tools and the rich heritage that your desktop Linux machine has inherited from Unix supercomputers of yore. As you make your way through the book's short, easily-digestible chapters, you'll learn how to: • Create and delete files, directories, and symlinks • Administer your system, including networking, package installation, and process management • Use standard input and output, redirection, and pipelines • Edit files with Vi, the world's most popular text editor • Write shell scripts to automate common or boring tasks • Slice and dice text files with cut, paste, grep, patch, and sed Once you overcome your initial "shell shock," you'll find that the command line is a natural and expressive way to communicate with your computer. Just don't be surprised if your mouse starts to gather dust.
UNIX platforms Solaris��, SCO UNIX��, and UnixWare��, focuses on the most useful user-level commands. Unlike the standard UNIX manual, it simplifies the understanding of each command by providing numerous real-world examples for each command described. KEY TOPICS: Provides clear and accessible, alphabetically-organized descriptions of over 50 of the most important user-level UNIX commands; and contains over 400 examples of commands, flags, options, and environment variables. Contains an introduction to Bourne and Korn shell programming for users with no prior programming experience, and offers detailed examples on using two of the UNIX systems' most powerful features: shell programming and the vi editor. MARKET: A reference for beginning to intermediate-level UNIX users.
A guide to the operating system's commands and options covers the shell, package management, text editing, source code management, and GDB debugger.
Think your Mac is powerful now? Author Dave Taylor shows you how to get much more from your system by tapping into Unix, the robust operating system concealed beneath OS X's beautiful user interface. Apple's latest OS, El Capitan, puts more than a thousand Unix commands at your fingertips--for finding and managing files, remotely accessing your Mac from other computers, and using a variety of freely downloadable open source applications. Take a friendly tour of the Unix command line and 50 of the most useful utilities, and quickly learn how to gain real control over your Mac.
A step-by-step tutorial that will teach you, through real-world examples, how to configure and use zsh and its various features. If you are a system administrator, developer, or computer professional involved with UNIX who are looking to improve on their daily tasks involving the UNIX shell, Learning Shell Scripting with zsh will be great for you. It’s assumed that you have some familiarity with an UNIX command-line interface and feel comfortable with editors such as Emacs or vi.
Describes the most useful UNIX commands and covers the System V UNIX system and the Berkeley UNIX system. In addition to listing the commands and definitions, the book includes examples that illustrate the use of the commands. Covers core commands, making it easier for the novice to distinguish between the essential and the extraneous. Summaries of several key subsystems -- vi, awk, sed, shells, text processing -- will make it easier for intermediate and advanced users to find important information.Includes synopses and examples as well as Editor Command charts for vi and ed texts, Command Syntax charts, and MS DOS to UNIX cross references.
Now that your favorite operating system, Mac OS X, has Unix under the hood, it's the perfect time for you to uncover its capabilities. This new edition of Learning Unix for Mac OS X is designed to teach Unix basics to traditional Macintosh users. This book tells you what to do when you're faced with that empty command line. Book jacket.
Covering all aspects of the Unix operating system and assuming no prior knowledge of Unix, this book begins with the fundamentals and works from the ground up to some of the more advanced programming techniques The authors provide a wealth of real-world experience with the Unix operating system, delivering actual examples while showing some of the common misconceptions and errors that new users make Special emphasis is placed on the Apple Mac OS X environment as well as Linux, Solaris, and migrating from Windows to Unix A unique conversion section of the book details specific advice and instructions for transitioning Mac OS X, Windows, and Linux users
Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop skills such as R programming, data wrangling, data visualization, predictive algorithm building, file organization with UNIX/Linux shell, version control with Git and GitHub, and reproducible document preparation. This book is a textbook for a first course in data science. No previous knowledge of R is necessary, although some experience with programming may be helpful. The book is divided into six parts: R, data visualization, statistics with R, data wrangling, machine learning, and productivity tools. Each part has several chapters meant to be presented as one lecture. The author uses motivating case studies that realistically mimic a data scientist’s experience. He starts by asking specific questions and answers these through data analysis so concepts are learned as a means to answering the questions. Examples of the case studies included are: US murder rates by state, self-reported student heights, trends in world health and economics, the impact of vaccines on infectious disease rates, the financial crisis of 2007-2008, election forecasting, building a baseball team, image processing of hand-written digits, and movie recommendation systems. The statistical concepts used to answer the case study questions are only briefly introduced, so complementing with a probability and statistics textbook is highly recommended for in-depth understanding of these concepts. If you read and understand the chapters and complete the exercises, you will be prepared to learn the more advanced concepts and skills needed to become an expert.