Bash for data scientists
This book introduces an assortment of powerful command line utilities that can be combined to create simple, yet powerful shell scripts for processing datasets. The code samples and scripts use the bash shell, and typically involve small datasets so you can focus on understanding the features of gre...
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| Main Author | |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
Dulles, Virginia :
Mercury Learning & Information,
[2023]
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| Subjects | |
| Online Access | Full text |
| ISBN | 9781683929727 1683929721 1683929713 9781683929710 |
| Physical Description | 1 online resource (293 p.) |
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| Summary: | This book introduces an assortment of powerful command line utilities that can be combined to create simple, yet powerful shell scripts for processing datasets. The code samples and scripts use the bash shell, and typically involve small datasets so you can focus on understanding the features of grep, sed, and awk. Companion files with code are available for downloading from the publisher. FEATURES:Provides the reader with powerful command line utilities that can be combined to create simple yet powerful shell scripts for processing datasetsContains a variety of code fragments and shell scripts for data scientists, data analysts, and those who want shell-based solutions to "clean" various types of datasetsCompanion files with code. |
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| Item Description: | CHAPTER 4 CONDITIONAL LOGIC AND LOOPS |
| ISBN: | 9781683929727 1683929721 1683929713 9781683929710 |
| Access: | Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty |
| Physical Description: | 1 online resource (293 p.) |