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Bash for Data Scientists
Bash for Data Scientists

Bash for Data Scientists: A Comprehensive Guide to Shell Scripting for Data Science Tasks

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Profile Icon Mercury Learning and Information Profile Icon Oswald Campesato
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zł39.99 zł219.99
eBook Jul 2024 293 pages 1st Edition
eBook
zł39.99 zł219.99
Arrow left icon
Profile Icon Mercury Learning and Information Profile Icon Oswald Campesato
Arrow right icon
zł39.99 zł219.99
eBook Jul 2024 293 pages 1st Edition
eBook
zł39.99 zł219.99
eBook
zł39.99 zł219.99

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Key benefits

  • Comprehensive coverage of Bash for data science tasks
  • Practical examples and real-world applications
  • Integration with Pandas and databases for advanced data processing

Description

This book introduces powerful command line utilities for creating efficient shell scripts to process datasets. Using the bash shell, the examples and scripts focus on small datasets to help readers understand the features of grep, sed, and awk. Companion files with code are available for download from the publisher. The course starts with an introduction to the basics, covering files and directories, and useful commands. It then progresses to conditional logic and loops, providing a solid foundation for processing datasets. Detailed chapters on using grep, sed, and awk illustrate their capabilities in handling and cleaning various types of datasets effectively. Advanced topics include processing datasets with Pandas, exploring NoSQL, SQLite, and Python. The book equips data scientists, analysts, and anyone seeking shell-based solutions with practical skills. By the end, users will be adept at creating robust scripts for dataset processing, combining command line utilities for optimal results.

Who is this book for?

Data scientists, analysts, and developers interested in automating data tasks using Bash. Basic understanding of Unix commands is recommended. Familiarity with data manipulation tools is beneficial.

What you will learn

  • Navigate Unix environments
  • Manipulate files and directories
  • Implement conditional logic and loops
  • Process datasets with grep and sed
  • Utilize awk for advanced text processing
  • Integrate Bash with Pandas and databases

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 23, 2024
Length: 293 pages
Edition : 1st
Language : English
ISBN-13 : 9781836647140
Category :
Concepts :

What do you get with eBook?

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Product feature icon Download this book in EPUB and PDF formats
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
OR
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Product Details

Publication date : Jul 23, 2024
Length: 293 pages
Edition : 1st
Language : English
ISBN-13 : 9781836647140
Category :
Concepts :

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Table of Contents

9 Chapters
Chapter 1: Introduction Chevron down icon Chevron up icon
Chapter 2: Files and Directories Chevron down icon Chevron up icon
Chapter 3: Useful Commands Chevron down icon Chevron up icon
Chapter 4: Conditional Logic and Loops Chevron down icon Chevron up icon
Chapter 5: Processing Datasets with grep and sed Chevron down icon Chevron up icon
Chapter 6: Processing Datasets with awk Chevron down icon Chevron up icon
Chapter 7: Processing Datasets (Pandas) Chevron down icon Chevron up icon
Chapter 8: NoSQL, SQLite, and Python Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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