Domain-Specific Languages in R Domain-Specific Languages in R

Domain-Specific Languages in R

Advanced Statistical Programming

    • $19.99
    • $19.99

Publisher Description

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 

GENRE
Computers & Internet
RELEASED
2018
June 23
LANGUAGE
EN
English
LENGTH
266
Pages
PUBLISHER
Apress
SELLER
Springer Nature B.V.
SIZE
1.9
MB

More Books Like This

Scala: From a Functional Programming Perspective Scala: From a Functional Programming Perspective
2016
Central European Functional Programming School Central European Functional Programming School
2008
Practical Aspects of Declarative Languages Practical Aspects of Declarative Languages
2017
Learning Functional Programming Learning Functional Programming
2022
Trends in Functional Programming Trends in Functional Programming
2016
Concepts and Semantics of Programming Languages 1 Concepts and Semantics of Programming Languages 1
2021

More Books by Thomas Mailund

Pointers in C Programming Pointers in C Programming
2021
R Data Science Quick Reference R Data Science Quick Reference
2019
The Joys of Hashing The Joys of Hashing
2019
Functional Programming in R 4 Functional Programming in R 4
2023
R 4 Data Science Quick Reference R 4 Data Science Quick Reference
2022
Beginning Data Science in R 4 Beginning Data Science in R 4
2022