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Domain-specific languages in R = advanced statistical programming /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Domain-specific languages in R/ by Thomas Mailund.
Reminder of title:	advanced statistical programming /
Author:	Mailund, Thomas.
Published:	Berkeley, CA :Apress : : 2018.,
Description:	ix, 257 p. :digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Domain-specific programming languages. -
Online resource:	http://dx.doi.org/10.1007/978-1-4842-3588-1
ISBN:	9781484235881

Domain-specific languages in R = advanced statistical programming /
Mailund, Thomas.

Domain-specific languages in Radvanced statistical programming /[electronic resource] :by Thomas Mailund. - Berkeley, CA :Apress :2018. - ix, 257 p. :digital ;24 cm.

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.

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.

ISBN: 9781484235881

Standard No.: 10.1007/978-1-4842-3588-1doiSubjects--Topical Terms:

1060129
Domain-specific programming languages.

LC Class. No.: QA76.7 / .M355 2018

Dewey Class. No.: 005.13

Domain-specific languages in R = advanced statistical programming /
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505 0 $a 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.
520 $a 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.
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