1.

Record Nr.

UNINA9910300744203321

Autore

Mailund Thomas

Titolo

Domain-Specific Languages in R : Advanced Statistical Programming / / by Thomas Mailund

Pubbl/distr/stampa

Berkeley, CA : , : Apress : , : Imprint : Apress, , 2018

ISBN

9781484235881

1484235886

Edizione

[1st ed. 2018.]

Descrizione fisica

1 online resource (257 pages)

Disciplina

005.13

Soggetti

Programming languages (Electronic computers)

Artificial intelligence

Computer programming

Mathematical statistics

Big data

R (Computer program language)

Programming Languages, Compilers, Interpreters

Artificial Intelligence

Programming Techniques

Probability and Statistics in Computer Science

Big Data

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

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.

Sommario/riassunto

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. You will: 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 .