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, youll 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, youll 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.
1.Introduction.- 2.Matrix expressions.- 3.Components of a programming language.- 4.Functions, classes and operators.- 5.Parsing and manipulating expressions.- 6.Lambda expressions.- 7. Environments and Expressions.- 8.Tidy evaluation.- 9.List comprehension.- 10.Continuous-Time Markov chains.- 11.Pattern matching.- 12. Dynamic programmingl³(
![Domain-Specific Languages in R: Advanced Statistical Programming [Paperback]](/itemImage/2/6/5/0/2_1734257.jpg "Domain-Specific Languages in R: Advanced Statistical Programming [Paperback]")