Bash for Data Scientists (eBook)

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.

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Master Bash scripting for data science with practical examples and real-world applications.Key FeaturesComprehensive coverage of Bash for data science tasksPractical examples and real-world applicationsIntegration with Pandas and databases for advanced data processingBook DescriptionThis 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 learnNavigate Unix environmentsManipulate files and directoriesImplement conditional logic and loopsProcess datasets with grep and sedUtilize awk for advanced text processingIntegrate Bash with Pandas and databasesWho this book is forData 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.]]>