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Ruby Data Processing

Using Map, Reduce, and Select

Authors: Godse, Jay

  • A practical compact book on Ruby data processing
  • Comes with simple examples to start
  • Builds up to complex example solutions
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Buy this book

eBook $14.99
price for USA (gross)
  • ISBN 978-1-4842-3474-7
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $19.99
price for USA
  • ISBN 978-1-4842-3473-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Gain the basics of Ruby’s map, reduce, and select functions and discover how to use them to solve data-processing problems. This compact hands-on book explains how you can encode certain complex programs in 10 lines of Ruby code, an astonishingly small number. You will walk through problems and solutions which are effective because they use map, reduce, and select. As you read Ruby Data Processing, type in the code, run the code, and ponder the results. Tweak the code to test the code and see how the results change. 
After reading this book, you will have a deeper understanding of how to break data-processing problems into processing stages, each of which is understandable, debuggable, and composable, and how to combine the stages to solve your data-processing problem. As a result, your Ruby coding will become more efficient and your programs will be more elegant and robust. 

What You Will Learn

  • Discover Ruby data processing and how to do it using the map, reduce, and select functions
  • Develop complex solutions including debugging, randomizing, sorting, grouping, and more
  • Reverse engineer complex data-processing solutions

Who This Book Is For 
Those who have at least some prior experience programming in Ruby and who have a background and interest in data analysis and processing using Ruby.

About the authors

Jay Godse is an active software and web applications developer, with expertise in Ruby, Rails, PostgreSQL, Sidekiq, Slim, jQuery, and Ansible.  He also is active on Stack Overflow as an active contributor.  He graduated with an engineering degree, and then went to work as a digital circuit designer. After a year of that he switched to software development and has been there ever since in some form. His early work was mostly real-time telecommunication device control and provisioning using languages such as C and Protel. He then transitioned into designing distributed computing systems, using languages such as C++ and CORBA IDL. After that, transitioned into web applications. Along the way he did stints as a software development manager and a software architect. But for the last 7 years, he has written web applications.

Table of contents (4 chapters)

Buy this book

eBook $14.99
price for USA (gross)
  • ISBN 978-1-4842-3474-7
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $19.99
price for USA
  • ISBN 978-1-4842-3473-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.

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Bibliographic Information

Bibliographic Information
Book Title
Ruby Data Processing
Book Subtitle
Using Map, Reduce, and Select
Authors
Copyright
2018
Publisher
Apress
Copyright Holder
Jay Godse
Distribution Rights
Standard Apress distribution
eBook ISBN
978-1-4842-3474-7
DOI
10.1007/978-1-4842-3474-7
Softcover ISBN
978-1-4842-3473-0
Edition Number
1
Number of Pages
XV, 98
Number of Illustrations and Tables
1 illustrations in colour
Topics