Domain-Specific Languages in R: Advanced Statistical Programming

Domain-Specific Languages in R: Advanced Statistical Programming

Domain-Specific Languages in R: Advanced Statistical Programming
Автор: Mailund Thomas
Дата выхода: 2018
Издательство: Apress Media, LLC.
Количество страниц: 257
Размер файла: 2,4 МБ
Тип файла: PDF
Добавил: codelibs
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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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