Functional Data Structures in R | Taschenbuch

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Cover: 9781484231432 | Functional Data Structures in R | Thomas Mailund | Taschenbuch | xii

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Sprache: Englisch

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Beschreibung

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 yoüll learn how to change variable-value bindings by modifying environments, which can be exploited to emulate pointers and implement traditional data structures. Yoüll also see how, by abandoning traditional data structures, you can manipulate structures by building new versions rather than modifying them. Yoüll 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, yoüll 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 R
Build 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.

What You'll Learn

Who This Book Is For

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

Über den Autor

Thomas Mailund is an associate professor in bioinformatics at Aarhus University, Denmark. He has a background in math and computer science. For the last decade, his main focus has been on genetics and evolutionary studies, particularly comparative genomics, speciation, and gene flow between emerging species. He has published Beginning Data Science in R, Functional Programming in R and Metaprogramming in R with Apress as well as other books.

Zusammenfassung

Learn algorithmic programming in R

Emulate pointers and implement traditional data structures in R

Implement data structures in C/C++ with R wrapper code

Inhaltsverzeichnis

1: Abstract Data Structures.- 2: Immutable and Persistent Data.- 3: Bags, Stacks, and Queues.- 4: Heaps.- 5: Sets and Search Trees.- 6: Conclusions.- Bibliography.

Details

Erscheinungsjahr:	2017
Fachbereich:	Datenkommunikation, Netze & Mailboxen
Genre:	Informatik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Seiten:	272
Inhalt:	xii 256 S. 55 s/w Illustr. 2 farbige Illustr. 256 p. 57 illus. 2 illus. in color.
ISBN-13:	9781484231432
ISBN-10:	1484231430
Sprache:	Englisch
Herstellernummer:	978-1-4842-3143-2
Ausstattung / Beilage:	Paperback
Einband:	Kartoniert / Broschiert
Autor:	Mailund, Thomas
Auflage:	1st ed.
Hersteller:	Apress Apress L.P.
Maße:	235 x 155 x 15 mm
Von/Mit:	Thomas Mailund
Erscheinungsdatum:	18.11.2017
Gewicht:	0,417 kg

preigu-id: 110642549