Domain-Specific Languages in R Advanced Statistical Programming /
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'l...
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| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berkeley, CA :
Apress,
2018.
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| Edition: | 1st ed. 2018. |
| Subjects: | |
| ISBN: | 9781484235881 |
| Online Access: |
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| 020 | |a 9781484235881 | ||
| 024 | 7 | |a 10.1007/978-1-4842-3588-1 |2 doi | |
| 035 | |a CVTIDW08558 | ||
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| 041 | |a eng | ||
| 100 | 1 | |a Mailund, Thomas. |4 aut | |
| 245 | 1 | 0 | |a Domain-Specific Languages in R |h [electronic resource] : |b Advanced Statistical Programming / |c by Thomas Mailund. |
| 250 | |a 1st ed. 2018. | ||
| 260 | 1 | |a Berkeley, CA : |b Apress, |c 2018. | |
| 300 | |a IX, 257 p. 10 illus. |b online resource. | ||
| 500 | |a Professional and Applied Computing | ||
| 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. | |
| 516 | |a text file PDF | ||
| 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 . | ||
| 650 | 0 | |a Programming languages (Electronic computers). | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Computer programming. | |
| 650 | 0 | |a Mathematical statistics. | |
| 650 | 0 | |a Big data. | |
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| 919 | |a 978-1-4842-3588-1 | ||
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