Domain-Specific Languages in R
Advanced Statistical Programming
Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Programming, Programming Languages, General Computing
| 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.
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.
