Bash for Data Scientists / / Oswald Campesato.

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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Bibliographic Details
VerfasserIn:
Place / Publishing House:Dulles, VA : : Mercury Learning and Information, , [2022]
©2022
Year of Publication:2022
Language:English
Online Access:
Physical Description:1 online resource (276 p.)
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Description
Other title:Frontmatter --
CONTENTS --
Preface --
Chapter 1: Introduction --
Chapter 2: Files and Directories --
Chapter 3: Useful Commands --
Chapter 4: Conditional Logic and Loops --
Chapter 5: Processing Datasets with grep and sed --
Chapter 6: Processing Datasets with awk --
Chapter 7: Processing Datasets (Pandas) --
Chapter 8: NoSQL, SQLite, and Python --
Index
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
Format:Mode of access: Internet via World Wide Web.
ISBN:9781683929727
Access:restricted access
Hierarchical level:Monograph
Statement of Responsibility: Oswald Campesato.