LV
5
 

Farid-Khan

Power User
Utoljára online
2023.06.08.
32,966
307
83
Díjak
6
35
i50qf3zty6xf.jpg
Linux Shell Programming: Pocket Primer | 254 | Oswald Campesato | 2023 | Mercury Learning and Information | 1683926196​

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. The book features companion files with code samples from the book (available with Amazon proof of purchase for free downloading from the publisher by writing to info@merclearning.com).

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 with Amazon proof of purchase for free downloading from the publisher by writing to info@merclearning.com)

Table of Contents
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.

About the Author
Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Cruz and specializes in Deep Learning, NLP, Android, and Python. He is the author/co-author of over forty-five books including Data Science Fundamentals Pocket Primer , Python 3 for Machine Learning, and the Python Pocket Primer (Mercury Learning).

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. The book features companion files with code samples from the book (available with Amazon proof of purchase for free downloading from the publisher by writing to
Code:




Linkeket csak regisztrált tagok láthatják!  Bejelentkezés :::  Regisztráció




).

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 with Amazon proof of purchase for free downloading from the publisher by writing to
Code:




Linkeket csak regisztrált tagok láthatják!  Bejelentkezés :::  Regisztráció




)

Table of Contents
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.

About the Author
Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Cruz and specializes in Deep Learning, NLP, Android, and Python. He is the author/co-author of over forty-five books including Data Science Fundamentals Pocket Primer , Python 3 for Machine Learning, and the Python Pocket Primer (Mercury Learning).



Contents of Download:
Linux Shell Programming Pocket.epub (7.3 MB)


KatFile Link(s)
Code:




Linkeket csak regisztrált tagok láthatják!  Bejelentkezés :::  Regisztráció




NitroFlare Link(s) (This link is only available for premium members)
Code:




Linkeket csak regisztrált tagok láthatják!  Bejelentkezés :::  Regisztráció




RapidGator Link(s)
Code:




Linkeket csak regisztrált tagok láthatják!  Bejelentkezés :::  Regisztráció




 

Kedvezményes Data.hu prémium előfizetés itt! Tölts villámgyorsan, korlátok nélkül!