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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 datasetsContains 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 datasetsCompanion files with code

Computer Science. --- Data Science. --- Pandas. --- Programming. --- Python. --- UNIX. --- awk. --- data mining. --- grep. --- sed.

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"This book contains a fast-paced introduction to as much relevant information about Python tools for data scientists as possible that can be reasonably included in a book of this size. If you are a novice, this book will give you a starting point from which you can decide which Python technologies that you want to explore in greater detail. You will be exposed to features of Numpy and Pandas, how to write regular expressions, and how to perform data cleaning tasks. Some topics are presented in a cursory manner, which is for two main reasons. First, it's important that you be exposed to these concepts. In some cases you will find topics that might pique your interest, and hence motivate you to learn more about them through self-study; in other cases you will probably be satisfied with a brief introduction. In other words, you will decide whether or not to delve into more detail regarding each of the topics in this book"--

Computer programming. --- Electronic data processing. --- Python (Computer program language) --- NumPy. --- Python. --- SciPy. --- Sklearn. --- awk. --- data cleaning. --- data science. --- data visualization. --- programming.