Functional Data Structures in R

Advanced Statistical Programming in R

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Éditeur :

Apress


Paru le : 2017-11-17



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Description

Get an introduction to functional data structures using R and write more effective code and gain performance for your programs. This book teaches you workarounds because data in functional languages is not mutable: for example you’ll learn how to change variable-value bindings by modifying environments, which can be exploited to emulate pointers and implement traditional data structures. You’ll also see how, by abandoning traditional data structures, you can manipulate structures by building new versions rather than modifying them. You’ll discover how these so-called functional data structures are different from the traditional data structures you might know, but are worth understanding to do serious algorithmic programming in a functional language such as R.


By the end of Functional Data Structures in R, you’ll understand the choices to make in order to most effectively work with data structures when you cannot modify the data itself. These techniques are especially applicable for algorithmic development important in big data, finance, and other data science applications.


What You'll Learn
Carry out algorithmic programming in R 
Use abstract data structures 
Work with both immutable and persistent data 
Emulate pointers and implement traditional data structures in RBuild new versions of traditional data structures that are known



Who This Book Is For


Experienced or advanced programmers with at least a comfort level with R. Some experience with data structures recommended.

Pages
256 pages
Collection
n.c
Parution
2017-11-17
Marque
Apress
EAN papier
9781484231432
EAN PDF
9781484231449

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
25
Taille du fichier
4157 Ko
Prix
26,61 €
EAN EPUB
9781484231449

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
25
Taille du fichier
1352 Ko
Prix
26,61 €

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