- Publisher
Mercury Learning and Information - Published
23rd May 2023 - ISBN 9781501521515
- Language English
- Pages 242 pp.
- Size 7" x 9"
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- Publisher
Mercury Learning and Information - Published
30th May 2023 - ISBN 9781501518232
- Language English
- Pages 242 pp.
- Size 7" x 9"
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- Publisher
Mercury Learning and Information - Published
30th May 2023 - ISBN 9781501518249
- Language English
- Pages 242 pp.
- Size 7" x 9"
The goal of this book is to introduce readers to three powerful command line utilities that can be combined to create simple yet powerful shell scripts for performing a multitude of tasks. The code samples and scripts use the bash shell, and typically involve very small text files so that you can focus on understanding the features of grep, sed, and awk. In the simplest terms, grep (global regular expression print) will search input files in data for certain words or word patterns and print the lines that match it. sed is useful for changing or modifying data. Awk is a programming language also used for searching a data file for certain patterns, but can also perform certain tasks on the pattern matches it finds. 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 these command line utilities.
FEATURES:
- Designed for readers relatively new to working in a bash environment
- Introduces readers to three powerful command line utilities that can be combined to create simple yet powerful shell scripts for performing a multitude of tasks
- Includes numerous code samples and scripts using the bash shell, and typically involve small, text files
- Features a separate chapter on regular expressions using these tools
1: Working with grep
2: Working with sed
3: Working with awk, Part 1
4: Working with awk, Part 2
5: Working with awk, Part 3
6: Regular Expressions
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).