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03669nam a2200553 4500 |
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978-1-4842-3588-1 |
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DE-He213 |
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20191220130315.0 |
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180623s2018 xxu| s |||| 0|eng d |
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|a 9781484235881
|9 978-1-4842-3588-1
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|a 10.1007/978-1-4842-3588-1
|2 doi
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|d GrThAP
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|a QA76.7-76.73
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|a QA76.76.C65
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|a UMX
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|a 005.13
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|a Mailund, Thomas.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Domain-Specific Languages in R
|h [electronic resource] :
|b Advanced Statistical Programming /
|c by Thomas Mailund.
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250 |
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|a 1st ed. 2018.
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264 |
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|a Berkeley, CA :
|b Apress :
|b Imprint: Apress,
|c 2018.
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300 |
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|a IX, 257 p. 10 illus.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|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.
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520 |
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|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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650 |
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|a Programming languages (Electronic computers).
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650 |
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|a Artificial intelligence.
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650 |
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|a Computer programming.
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650 |
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|a Mathematical statistics.
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650 |
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|a Big data.
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650 |
1 |
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|a Programming Languages, Compilers, Interpreters.
|0 http://scigraph.springernature.com/things/product-market-codes/I14037
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650 |
2 |
4 |
|a Artificial Intelligence.
|0 http://scigraph.springernature.com/things/product-market-codes/I21000
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650 |
2 |
4 |
|a Programming Techniques.
|0 http://scigraph.springernature.com/things/product-market-codes/I14010
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650 |
2 |
4 |
|a Probability and Statistics in Computer Science.
|0 http://scigraph.springernature.com/things/product-market-codes/I17036
|
650 |
2 |
4 |
|a Big Data.
|0 http://scigraph.springernature.com/things/product-market-codes/I29120
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710 |
2 |
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|a SpringerLink (Online service)
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773 |
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|t Springer eBooks
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776 |
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|i Printed edition:
|z 9781484235874
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776 |
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8 |
|i Printed edition:
|z 9781484235898
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776 |
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|i Printed edition:
|z 9781484240045
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856 |
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|u https://doi.org/10.1007/978-1-4842-3588-1
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-CWD
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950 |
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|a Professional and Applied Computing (Springer-12059)
|