LEADER 04121nam  22007335  450 
001 9910300744203321
005 20220629161254.0
010   $a9781484235881
010   $a1484235886
024 7 $a10.1007/978-1-4842-3588-1
035   $a(CKB)4100000004836671
035   $a(MiAaPQ)EBC5435825
035   $a(DE-He213)978-1-4842-3588-1
035   $a(CaSebORM)9781484235881
035   $a(PPN)22949840X
035   $a(OCoLC)1045429062
035   $a(OCoLC)on1045429062
035   $a(EXLCZ)994100000004836671
100   $a20180623d2018      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aDomain-Specific Languages in R $eAdvanced Statistical Programming /$fby Thomas Mailund
205   $a1st ed. 2018.
210  1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2018.
215   $a1 online resource (257 pages)
311 08$a9781484235874 
311 08$a1484235878 
320   $aIncludes bibliographical references.
327   $a1. 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.
330   $aGain 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 .
606   $aProgramming languages (Electronic computers)
606   $aArtificial intelligence
606   $aComputer programming
606   $aMathematical statistics
606   $aBig data
606   $aR (Computer program language)
606   $aProgramming Languages, Compilers, Interpreters$3https://scigraph.springernature.com/ontologies/product-market-codes/I14037
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aProgramming Techniques$3https://scigraph.springernature.com/ontologies/product-market-codes/I14010
606   $aProbability and Statistics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17036
606   $aBig Data$3https://scigraph.springernature.com/ontologies/product-market-codes/I29120
615  0$aProgramming languages (Electronic computers)
615  0$aArtificial intelligence.
615  0$aComputer programming.
615  0$aMathematical statistics.
615  0$aBig data.
615  0$aR (Computer program language)
615 14$aProgramming Languages, Compilers, Interpreters.
615 24$aArtificial Intelligence.
615 24$aProgramming Techniques.
615 24$aProbability and Statistics in Computer Science.
615 24$aBig Data.
676   $a005.13
700   $aMailund$b Thomas$4aut$4http://id.loc.gov/vocabulary/relators/aut$0846442
801  0$bUMI
801  1$bUMI
801  2$bUMI
906   $aBOOK
912   $a9910300744203321
996   $aDomain-Specific Languages in R$92544827
997   $aUNINA