Bash Command Line and Shell Scripts Pocket Primer

Oswald Campesato

ISBN 10: 1683925041 / ISBN 13: 9781683925040

Editore: Mercury Learning and Information, 2020

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Codice articolo 930

Dati bibliografici

• Titolo: Bash Command Line and Shell Scripts Pocket Primer
• Editore: Mercury Learning and Information
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 1683925041
• ISBN 13: 9781683925040
• Rilegatura: Soft cover
• Edizione: 1st Edition
• Condizione: Very Good
• Peso: 400 grammi
• Cataloghi dei venditori:
  • Computer Science

Descrizione articolo

Riassunto

As part of the best-selling Pocket Primer series, this book is designed to introduce readers to an assortment of useful 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 command shells (such as sh, ksh, zsh, and csh), including the concept of piping data between commands and the highly versatile 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 techniques to those who already have some experience with creating shell scripts. It 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 text files. In addition, the concepts and code samples in this book are useful for people who want to simplify routine tasks. Includes companion files with all of the source code examples (download from the publisher by writing to info@merclearning.com).

Features:

• Takes introductory concepts and commands in bash, and then demonstrates their uses in simple, yet powerful shell scripts
• Contains an assortment of shell scripts for data scientists, data analysts, and other people who want shell-based solutions to “clean” various types of text files
• Includes companion files with all of the source code examples (available for download from the publisher)

Informazioni sull?autore

Campesato Oswald :

Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning and Information).