دانلود کتاب برنامه نویسی شل لینوکس

The goal of this book is to introduce readers to an assortment of powerful command line utilities that can be combined to create simple, yet powerful shell scripts. While all examples and scripts use the “bash” command set, many of the concepts translate into other forms of shell scripting (ksh, sh, csh), including the concept of piping data between commands, regular expression substitution and the sed and awk commands. Aimed at a reader relatively new to working in a bash environment, the book is comprehensive enough to be a good reference and teach a few new tricks to those who already have some experience with creating shells scripts. This short book contains a variety of code fragments and shell scripts for data scientists, data analysts, and other people who want shell-based solutions to “clean” various types of datasets. In addition, the concepts and code samples in this book are useful for people who want to simplify routine tasks. The book takes introductory concepts and commands in bash, and then demonstrates their use in powerful shell scripts. It does not cover “pure” system administration functionality for Linux. This book is intended for general users, data scientists, data analysts, and other people who perform a variety of tasks from the command line and who also have a modest knowledge of shell programming. The content will save you the time required to search for relevant code samples and to adapt them to your specific needs, which is a potentially time-consuming process. You will acquire an understanding of how to use various bash commands, often as part of short shell scripts. The chapters also contain simple use cases that illustrate how to perform various tasks involving datasets, such as switching the order of a two-column dataset (Chapter 1), removing control characters in a text file (Chapter 2), find specific lines and merge them (Chapter 3), and using conditional logic in shell script (Chapter 4). Chapters 5, 6, and 7 focus on the bash commands grep, sed, and awk, respectively. Next, Chapter 8 contains details regarding shell scripts, followed by Chapter 9 that contains shell scripts involving the grep and awk commands. Finally, Chapter 10 includes miscellaneous examples of shells scripts, such as working with zip files, scheduling shell scripts using crontab, and how to generate simple reports.