Domain - Specific Languages in R: Advanced Statistical Programming

Mailund

ISBN 10: 1484235878 / ISBN 13: 9781484235874

Published by Apress, 2018

About this Item

Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.

Seller Inventory # ABNR-206881

Bibliographic Details

• Title: Domain - Specific Languages in R: Advanced Statistical Programming
• Publisher: Apress
• Publication Date: 2018
• Language: English
• ISBN 10: 1484235878
• ISBN 13: 9781484235874
• Binding: Soft cover
• Edition: International Edition
• Condition: New

About this title

Synopsis

Gain an accelerated introduction to domain-specific languages in R, including coverage of regular expressions. This compact, in-depth book shows you how DSLs are programming languages specialized for a particular purpose, as opposed to general purpose programming languages. Along the way, you’ll learn to specify tasks you want to do in a precise way and achieve programming goals within a domain-specific context. 

Domain-Specific Languages in R includes examples of DSLs including large data sets or matrix multiplication; pattern matching DSLs for application in computer vision; and DSLs for continuous time Markov chains and their applications in data science. After reading and using this book, you’ll understand how to write DSLs in R and have skills you can extrapolate to other programming languages.

What You'll Learn

• Program with domain-specific languages using R
  
• Discover the components of DSLs
  
• Carry out large matrix expressions and multiplications 
  
• Implement metaprogramming with DSLs
  
• Parse and manipulate expressions 
  

Who This Book Is For

Those with prior programming experience. R knowledge is helpful but not required.  

About the Author

Thomas Mailund is an associate professor in bioinformatics at Aarhus University, Denmark. He has a background in math and computer science.  For the last decade, his main focus has been on genetics and evolutionary studies, particularly comparative genomics, speciation, and gene flow between emerging species.  He has published Beginning Data Science in R, Functional Programming in R and Metaprogramming in R with Apress as well as other books.