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Domain-Specific Languages in R

- Advanced Statistical Programming

Bag om Domain-Specific Languages in R

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.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781484235874
  • Indbinding:
  • Paperback
  • Sideantal:
  • 257
  • Udgivet:
  • 24. juni 2018
  • Udgave:
  • 1
  • Størrelse:
  • 155x235x0 mm.
  • Vægt:
  • 4102 g.
  • 8-11 hverdage.
  • 3. december 2024
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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.

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