Please use this identifier to cite or link to this item:
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| Title: | Domain-Specific Languages in R |
| Other Titles: | Advanced Statistical Programming / |
| Authors: | Mailund, Thomas. ; |
| subject: | Computer Science;Computer Programming;Programming Languages and Electronic Computers;Mathematical statistics. ;;Computers;Computer Science;Programming Languages and Compilers and Interpreters;Computing Methodologies. ;;Programming Techniques;Probability and Statistics in Computer Science. ;;Big Data. ;;005.13 ; 23 ;;QA76.76.C65 ; |
| Year: | 2018 |
| place: | Berkeley, CA : |
| Publisher: | Apress : Imprint: Apress, |
| Abstract: | 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, youeell 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, youeell 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 . ; |
| Description: | SpringerLink (Online service) ; Printed edition: ; 9781484235874. ; |
| URI: | http://localhost/handle/Hannan/722 |
| ISBN: | 9781484235881 ; 9781484235874 (print) ; |
| More Information: | IX, 257 p. 10 illus. ; online resource. ; |
| Appears in Collections: | مدیریت فناوری اطلاعات |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 9781484235874.pdf | 2.48 MB | Adobe PDF | ![]() Preview File |
| Title: | Domain-Specific Languages in R |
| Other Titles: | Advanced Statistical Programming / |
| Authors: | Mailund, Thomas. ; |
| subject: | Computer Science;Computer Programming;Programming Languages and Electronic Computers;Mathematical statistics. ;;Computers;Computer Science;Programming Languages and Compilers and Interpreters;Computing Methodologies. ;;Programming Techniques;Probability and Statistics in Computer Science. ;;Big Data. ;;005.13 ; 23 ;;QA76.76.C65 ; |
| Year: | 2018 |
| place: | Berkeley, CA : |
| Publisher: | Apress : Imprint: Apress, |
| Abstract: | 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, youeell 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, youeell 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 . ; |
| Description: | SpringerLink (Online service) ; Printed edition: ; 9781484235874. ; |
| URI: | http://localhost/handle/Hannan/722 |
| ISBN: | 9781484235881 ; 9781484235874 (print) ; |
| More Information: | IX, 257 p. 10 illus. ; online resource. ; |
| Appears in Collections: | مدیریت فناوری اطلاعات |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 9781484235874.pdf | 2.48 MB | Adobe PDF | ![]() Preview File |
| Title: | Domain-Specific Languages in R |
| Other Titles: | Advanced Statistical Programming / |
| Authors: | Mailund, Thomas. ; |
| subject: | Computer Science;Computer Programming;Programming Languages and Electronic Computers;Mathematical statistics. ;;Computers;Computer Science;Programming Languages and Compilers and Interpreters;Computing Methodologies. ;;Programming Techniques;Probability and Statistics in Computer Science. ;;Big Data. ;;005.13 ; 23 ;;QA76.76.C65 ; |
| Year: | 2018 |
| place: | Berkeley, CA : |
| Publisher: | Apress : Imprint: Apress, |
| Abstract: | 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, youeell 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, youeell 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 . ; |
| Description: | SpringerLink (Online service) ; Printed edition: ; 9781484235874. ; |
| URI: | http://localhost/handle/Hannan/722 |
| ISBN: | 9781484235881 ; 9781484235874 (print) ; |
| More Information: | IX, 257 p. 10 illus. ; online resource. ; |
| Appears in Collections: | مدیریت فناوری اطلاعات |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 9781484235874.pdf | 2.48 MB | Adobe PDF | ![]() Preview File |
