Pocket Primer Series Read Description

Linux Shell Programming Pocket Primer

Paperback
July 2023
9781683926214
More details
  • Publisher
    Mercury Learning and Information
  • Published
    5th July 2023
  • ISBN 9781683926214
  • Language English
  • Pages 254 pp.
  • Size 6" x 9"
$49.99
E-Book

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June 2023
9781683926191
More details
  • Publisher
    Mercury Learning and Information
  • Published
    12th June 2023
  • ISBN 9781683926191
  • Language English
  • Pages 254 pp.
  • Size 6" x 9"
$49.99
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June 2023
9781683926207
More details
  • Publisher
    Mercury Learning and Information
  • Published
    12th June 2023
  • ISBN 9781683926207
  • Language English
  • Pages 254 pp.
  • Size 6" x 9"
$129.00

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 shell scripts.

FEATURES:

  • Covers extensive topics, code samples, and scripting utilities
  • Includes material on piping data between commands, regular expression substitution, cleaning datasets, and the sed and awk commands
  • Features companion files with code samples from the book (available for downloading from the publisher)

1: Introduction
2: Files and Directories
3: Useful Commands
4: Conditional Logic and Loops
5: Filtering Data with grep
6: Transforming Data with sed
7: Doing Everything Else with awk
8: Introduction to Shell Scripts and Functions
9: Shell Scripts with the grep and awk Commands
10: Miscellaneous Shell Scripts
Index

Oswald Campesato

Oswald Campesato specializes in Deep Learning, Python, Data Science, and generative AI. He is the author/co-author of over forty-five books including Google Gemini for Python, Large Language Models, and GPT-4 for Developers (all Mercury Learning).