Tutorialspoint
Purchase Includes
$ 200  23.99

Hands-On Data Science with the Command Line

Automate everyday data science tasks using command-line tools

Author: Jason Morris, Published on 31-Jan-2019, Language: English

Description

Big data processing and analytics at speed and scale using command line tools. 

Key Features

  • Perform string processing, numerical computations, and more using CLI tools
  • Understand the essential components of data science development workflow
  • Automate data pipeline scripts and visualization with the command line

Book Description

The Command Line has been in existence on UNIX-based OSes in the form of Bash shell for over 3 decades. However, very little is known to developers as to how command-line tools can be OSEMN (pronounced as awesome and standing for Obtaining, Scrubbing, Exploring, Modeling, and iNterpreting data) for carrying out simple-to-advanced data science tasks at speed.

This book will start with the requisite concepts and installation steps for carrying out data science tasks using the command line. You will learn to create a data pipeline to solve the problem of working with small-to medium-sized files on a single machine. You will understand the power of the command line, learn how to edit files using a text-based and an. You will not only learn how to automate jobs and scripts, but also learn how to visualize data using the command line.

By the end of this book, you will learn how to speed up the process and perform automated tasks using command-line tools.

What you will learn

  • Understand how to set up the command line for data science
  • Use AWK programming language commands to search quickly in large datasets.
  • Work with files and APIs using the command line
  • Share and collect data with CLI tools
  • Perform visualization with commands and functions
  • Uncover machine-level programming practices with a modern approach to data science

Who this book is for

This book is for data scientists and data analysts with little to no knowledge of the command line but has an understanding of data science. Perform everyday data science tasks using the power of command line tools.

Jason Morris

Jason Morris is a systems and research engineer with over 19 years of experience in system architecture, research engineering, and large data analysis. His primary focus is machine learning with TensorFlow, CUDA, and Apache Spark. Jason is also a speaker and a consultant for designing large-scale architectures, implementing best security practices on the cloud, creating near real-time image detection analytics with deep learning, and developing serverless architectures to aid in ETL. His most recent roles include solution architect, big data engineer, big data specialist, and instructor at Amazon Web Services. He is currently the Chief Technology Officer of Next Rev Technologies and his favorite command line program is netcat