دانلود کتاب Bash for Data Scientists

This book introduces an assortment of powerful command line utilitiesthat 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 soyou can focus on understanding the features of grep, sed, and awk. Companion fileswith code are available for downloading from the publisher.Features+Provides the reader with powerful command line utilities that can be combined tocreate 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 available for downloading with Amazon proof ofpurchase by writing to the publisher.Table of Contents1: 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.About the AuthorOswald Campesato (San Francisco, CA) is an adjunct instructorat UC-Santa Clara and specializes in Deep Learning, Java, Android,and NLP. He is the author of over twenty-five books including theSQL Pocket Primer, Python 3 for Machine Learning, and theNLP Using R Pocket Primer (all Mercury Learning).