Master Bash scripting for data science with practical examples and real-world applications.

Key Features

Comprehensive coverage of Bash for data science tasks

Practical examples and real-world applications

Integration with Pandas and databases for advanced data processing

Book 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.

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

Who this book is 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.