Bash for Data Scientists
- Publisher
Mercury Learning and Information - Published
6th December 2022 - ISBN 9781683929734
- Language English
- Pages 276 pp.
- Size 7" x 9"
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- Publisher
Mercury Learning and Information - Published
7th December 2022 - ISBN 9781683929710
- Language English
- Pages 276 pp.
- Size 7" x 9"
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- Publisher
Mercury Learning and Information - Published
7th December 2022 - ISBN 9781683929727
- Language English
- Pages 276 pp.
- Size 7" x 9"
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 specializes in Deep Learning, Python, Data Science, and generative AI. He is the author/co-author of over forty-five books including Google Gemini for Python, Large Language Models, and GPT-4 for Developers (all Mercury Learning).