Domain-Specific Languages in R
- Advanced Statistical Programming
- 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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- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af 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.
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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