Ruby Data Processing

Using Map, Reduce, and Select

Nonfiction, Computers, Database Management, Programming, Programming Languages, General Computing
Cover of the book Ruby Data Processing by Jay Godse, Apress
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Jay Godse ISBN: 9781484234747
Publisher: Apress Publication: February 19, 2018
Imprint: Apress Language: English
Author: Jay Godse
ISBN: 9781484234747
Publisher: Apress
Publication: February 19, 2018
Imprint: Apress
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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

**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.

More books from Apress

Cover of the book Advanced R by Jay Godse
Cover of the book Java EE 7 Recipes by Jay Godse
Cover of the book Pro SharePoint 2013 Business Intelligence Solutions by Jay Godse
Cover of the book The Profitable Supply Chain by Jay Godse
Cover of the book Broken Agile by Jay Godse
Cover of the book Learn Raspberry Pi Programming with Python by Jay Godse
Cover of the book Beginning PowerShell for SharePoint 2013 by Jay Godse
Cover of the book Microservices From Day One by Jay Godse
Cover of the book Pro Spring Boot by Jay Godse
Cover of the book Pro Unity Game Development with C# by Jay Godse
Cover of the book Beginning Android by Jay Godse
Cover of the book Cyber Security on Azure by Jay Godse
Cover of the book CSS Framework Alternatives by Jay Godse
Cover of the book Learn iOS 8 App Development by Jay Godse
Cover of the book Beginning Big Data with Power BI and Excel 2013 by Jay Godse
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy