Bash for Data Scientists

Paperback
December 2022
9781683929734
More details
  • Publisher
    Mercury Learning and Information
  • Published
    6th December 2022
  • ISBN 9781683929734
  • Language English
  • Pages 276 pp.
  • Size 7" x 9"
$54.95
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December 2022
9781683929710
More details
  • Publisher
    Mercury Learning and Information
  • Published
    7th December 2022
  • ISBN 9781683929710
  • Language English
  • Pages 276 pp.
  • Size 7" x 9"
$41.95
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December 2022
9781683929727
More details
  • Publisher
    Mercury Learning and Information
  • Published
    7th December 2022
  • ISBN 9781683929727
  • Language English
  • Pages 276 pp.
  • Size 7" x 9"
$129.95

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 datasets
  • Contains 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 datasets
  • Companion files with code

1: Introduction to UNIX
2: Files and Directories
3: Useful Commands
4: Conditional Logic and Loops
5: Processing Datasets with grep and sed
6: Processing Datasets with awk
7: Processing Datasets (Pandas)
8: NoSQL, SQLite, and Python
Index

Oswald Campesato

Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning and Information).

Computer Science; Data Science; Programming; Python; grep; sed; awk; data mining; Pandas; UNIX