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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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 |
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English |
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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 |
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Campesato, Oswald, Campesato, Oswald, |
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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 |
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Bash for Data Scientists / |
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