Reader small image

You're reading from  Hands-On Data Science with the Command Line

Product typeBook
Published inJan 2019
Reading LevelIntermediate
PublisherPackt
ISBN-139781789132984
Edition1st Edition
Languages
Tools
Concepts
Right arrow
Authors (3):
Jason Morris
Jason Morris
author image
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
Read more about Jason Morris

Chris McCubbin
Chris McCubbin
author image
Chris McCubbin

Chris McCubbin is a data scientist and software developer with 20 years experience in developing complex systems and analytics. He co-founded the successful big data security startup Sqrrl, since acquired by Amazon. He has also developed smart swarming systems for drones, social network analysis systems in MapReduce and big data security analytic platforms using the Apache projects Accumulo and Spark. He has been using the Unix command line starting on IRIX platforms in college and his favorite command line program is find.
Read more about Chris McCubbin

Raymond Page
Raymond Page
author image
Raymond Page

Raymond Page is a computer engineer specializing in site reliability. His experience with embedded development engendered a passion for removing the pervasive bloat from web technologies and cloud computing. His favorite command is cat.
Read more about Raymond Page

View More author details
Right arrow

To get the most out of this book

For this book, all you require is the Bash shell and a operating system that can run the command line or the latest version of Docker. You will also need an Internet connection (preferably cable or higher) and strong typing skills.

Download the example code files

You can download the example code files for this book from your account at www.packt.com. If you purchased this book elsewhere, you can visit www.packt.com/support and register to have the files emailed directly to you.

You can download the code files by following these steps:

  1. Log in or register at www.packt.com.
  2. Select the SUPPORT tab.
  3. Click on Code Downloads & Errata.
  4. Enter the name of the book in the Search box and follow the onscreen instructions.

Once the file is downloaded, please make sure that you unzip or extract the folder using the latest version of:

  • WinRAR/7-Zip for Windows
  • Zipeg/iZip/UnRarX for Mac
  • 7-Zip/PeaZip for Linux

The code bundle for the book is also hosted on GitHub at https://github.com/PacktPublishing/Hands-On-Data-Science-with-Command-Line. In case there's an update to the code, it will be updated on the existing GitHub repository.

We also have other code bundles from our rich catalog of books and videos available at https://github.com/PacktPublishing/. Check them out!

Conventions used

There are a number of text conventions used throughout this book.

CodeInText: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: "Mount the downloaded WebStorm-10*.dmg disk image file as another disk in your system."

A block of code is set as follows:

<<EOF cat >greetlib.sh
greet_yourself () {
echo Hello, \${1:-\$USER}!
}
EOF

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

<key>Ctrl+b</key> “
<key>Ctrl+b</key> <key></key>
<key>Ctrl+b</key> “

Any command-line input or output is written as follows:

sudo apt install -y screen tmux

Bold: Indicates a new term, an important word, or words that you see onscreen. For example, words in menus or dialog boxes appear in the text like this. Here is an example: "Select System info from the Administration panel."

Warnings or important notes appear like this.
Tips and tricks appear like this.
lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
Hands-On Data Science with the Command Line
Published in: Jan 2019Publisher: PacktISBN-13: 9781789132984

Authors (3)

author image
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
Read more about Jason Morris

author image
Chris McCubbin

Chris McCubbin is a data scientist and software developer with 20 years experience in developing complex systems and analytics. He co-founded the successful big data security startup Sqrrl, since acquired by Amazon. He has also developed smart swarming systems for drones, social network analysis systems in MapReduce and big data security analytic platforms using the Apache projects Accumulo and Spark. He has been using the Unix command line starting on IRIX platforms in college and his favorite command line program is find.
Read more about Chris McCubbin

author image
Raymond Page

Raymond Page is a computer engineer specializing in site reliability. His experience with embedded development engendered a passion for removing the pervasive bloat from web technologies and cloud computing. His favorite command is cat.
Read more about Raymond Page