Domain-Specific Languages in R : Advanced Statistical Programming /

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'l...

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Bibliographic Details
Main Author: Mailund, Thomas (Author)
Corporate Author: Safari, an O'Reilly Media Company
Format: eBook
Language:English
Published: Apress, 2018.
Edition:1st edition.
Subjects:
Online Access:Connect to this electronic resource
Description
Summary: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.
Item Description:Electronic resource.
Physical Description:1 online resource (257 pages)
Format:Mode of access: World Wide Web.