Khan, Arshad

Business Intelligence and Data Analysis in the Age of AI

Campesato, Oswald

Beginning Python 3 with Claude 3

Fortino, Andres

Case Studies in Excel, R, and ChatGPT

Data Analysis for Business Decisions

Zherlitsyn, Dmytro

Financial Data Analysis Using Python

A Prompt-based Exploration of LLMs

Large Language Models for Developers

Beginning Python 3 with Grok 2

Herman, Erik

Using Analytics and Case Studies

Data Science for Decision Makers

Goralski, Walter

Understanding AI, IoT, 6G and The Infrastructure Revolution

Erik, Herman L.

Theory, Applications and Ethics

AI Revealed

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CSS3 and SVG with Meta AI

Bash for Data Scientists

Frontmatter

CONTENTS

Preface

Chapter 1: Introduction

Chapter 2: Files and Directories

Chapter 3: Useful Commands

Chapter 4: Conditional Logic and Loops

Chapter 5: Processing Datasets with grep and sed

Chapter 6: Processing Datasets with awk

Chapter 7: Processing Datasets (Pandas)

Chapter 8: NoSQL, SQLite, and Python

Index

Companion Files.zip

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.

This book introduces an assortment of powerful command line utilities that can be combined to create simple, yet powerful shell scripts for processing...

Format

Bash for Data Scientists

Oswald Campesato

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