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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Place / Publishing House:Dulles, VA : : Mercury Learning and Information, , [2022]
©2022
Year of Publication:2022
Language:English
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Physical Description:1 online resource (276 p.)
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spelling Campesato, Oswald, author. aut http://id.loc.gov/vocabulary/relators/aut
Bash for Data Scientists / Oswald Campesato.
Dulles, VA : Mercury Learning and Information, [2022]
©2022
1 online resource (276 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
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
restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star
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
Issued also in print.
Mode of access: Internet via World Wide Web.
In English.
Description based on online resource; title from PDF title page (publisher's Web site, viewed 08. Aug 2023)
Data.
Programming.
COMPUTERS / Programming Languages / Python. bisacsh
Computer Science.
Data Science.
Pandas.
Python.
UNIX.
awk.
data mining.
grep.
sed.
EPUB 9781683929710
print 9781683929734
https://www.degruyter.com/isbn/9781683929727
Cover https://www.degruyter.com/document/cover/isbn/9781683929727/original
language English
format eBook
author Campesato, Oswald,
Campesato, Oswald,
spellingShingle Campesato, Oswald,
Campesato, Oswald,
Bash for Data Scientists /
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
author_facet Campesato, Oswald,
Campesato, Oswald,
author_variant o c oc
o c oc
author_role VerfasserIn
VerfasserIn
author_sort Campesato, Oswald,
title Bash for Data Scientists /
title_full Bash for Data Scientists / Oswald Campesato.
title_fullStr Bash for Data Scientists / Oswald Campesato.
title_full_unstemmed Bash for Data Scientists / Oswald Campesato.
title_auth Bash for Data Scientists /
title_alt 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
title_new Bash for Data Scientists /
title_sort bash for data scientists /
publisher Mercury Learning and Information,
publishDate 2022
physical 1 online resource (276 p.)
Issued also in print.
contents 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
isbn 9781683929727
9781683929710
9781683929734
url https://www.degruyter.com/isbn/9781683929727
https://www.degruyter.com/document/cover/isbn/9781683929727/original
illustrated Illustrated
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is_hierarchy_title Bash for Data Scientists /
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