Functional Data Structures in R
Advanced Statistical Programming in R
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12 704 Ft (12 099 Ft + 5% áfa)
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12 704 Ft
Beszerezhetőség
Becsült beszerzési idő: A Prosperónál jelenleg nincsen raktáron, de a kiadónál igen. Beszerzés kb. 3-5 hét..
A Prosperónál jelenleg nincsen raktáron.
Why don't you give exact delivery time?
A beszerzés időigényét az eddigi tapasztalatokra alapozva adjuk meg. Azért becsült, mert a terméket külföldről hozzuk be, így a kiadó kiszolgálásának pillanatnyi gyorsaságától is függ. A megadottnál gyorsabb és lassabb szállítás is elképzelhető, de mindent megteszünk, hogy Ön a lehető leghamarabb jusson hozzá a termékhez.
A termék adatai:
- Kiadás sorszáma 1st ed.
- Kiadó Apress
- Megjelenés dátuma 2017. november 18.
- Kötetek száma 1 pieces, Book
- ISBN 9781484231432
- Kötéstípus Puhakötés
- Terjedelem256 oldal
- Méret 235x155 mm
- Súly 4161 g
- Nyelv angol
- Illusztrációk 55 Illustrations, black & white; 2 Illustrations, color 0
Kategóriák
Rövid leírás:
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.
You will:
- 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
- Implement data structures in C/C++ with some wrapper code in R
- Build new versions of traditional data structures that are known
Hosszú leírás:
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 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.
Tartalomjegyzék:
1: Abstract Data Structures.- 2: Immutable and Persistent Data.- 3: Bags, Stacks, and Queues.- 4: Heaps.- 5: Sets and Search Trees.- 6: Conclusions.- Bibliography.
