Synopsis
Learn algorithmic programming in R
Emulate pointers and implement traditional data structures in R
Implement data structures in C/C++ with R wrapper code
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Functional Data Structures in R Advanced Statistical Programming in R
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Functional Data Structures in R: Advanced Statistical Programming in R
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Functional Data Structures in R
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APress, US, 2017
ISBN 10 : 1484231430
ISBN 13 : 9781484231432
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Paperback. Etat : New. 1st ed. 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 LearnCarry 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 knownWho This Book Is ForExperienced or advanced programmers with at least a comfort level with R. Some experience with data structures recommended. N° de réf. du vendeur LU-9781484231432
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Functional Data Structures in R: Advanced Statistical Programming in R
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Functional Data Structures in R: Advanced Statistical Programming in R
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ISBN 10 : 1484231430
ISBN 13 : 9781484231432
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Functional Data Structures in R: Advanced Statistical Programming in R
Edité par
Apress, Incorporated, 2017
ISBN 10 : 1484231430
ISBN 13 : 9781484231432
Neuf
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Functional Data Structures in R
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 LearnCarry 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 knownWho This Book Is ForExperienced or advanced programmers with at least a comfort level with R. Some experience with data structures recommended. 272 pp. Englisch. N° de réf. du vendeur 9781484231432
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Functional Data Structures in R: Advanced Statistical Programming in R
Edité par
Apress, Incorporated, 2017
ISBN 10 : 1484231430
ISBN 13 : 9781484231432
Neuf
Couverture souple
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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