Description
Domain-Specific Languages in R, 1st ed.
Advanced Statistical Programming
Author: Mailund Thomas
Language: EnglishSubjects for Domain-Specific Languages in R:
Keywords
DSLs; Domain Specific Languages; embedded; R programming; R language; big data; AI; deep learning; statistics; course code; programming
Support: Print on demand
Description
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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.
What You'll Learn
- 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
Who This Book Is For
Those with prior programming experience. R knowledge is helpful but not required.
1: Introduction
2: Matrix Expressions
3: Components of a Programming Language4: Functions, Classes, and Operators
5: Parsing and Manipulating Expressions6: Lambda Expressions
7: Environments and Expressions8: Tidy Evaluation
9: List Comprehension
10: Continuous-Time Markov Chains
11: Pattern Matching
12: Dynamic Programming13: Conclusion
Learn to program with domain-specific languages using R
Carry out large matrix expressions and multiplications
Implement metaprogramming with DSLs
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