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.
Inhaltsverzeichnis
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 programming. - 13. Conclusion.
