Domain-Specific Languages in R

Advanced Statistical Programming

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Programming, Programming Languages, General Computing
Cover of the book Domain-Specific Languages in R by Thomas Mailund, Apress
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Author: Thomas Mailund ISBN: 9781484235881
Publisher: Apress Publication: June 23, 2018
Imprint: Apress Language: English
Author: Thomas Mailund
ISBN: 9781484235881
Publisher: Apress
Publication: June 23, 2018
Imprint: Apress
Language: English

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.  

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

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

Who This Book Is For

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

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