Functional Data Structures in R :advanced statistical programming in R (Record no. 63095)
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fixed length control field | 02277cam a22002655i 4500 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9781484231449 |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 005.11 |
Item number | MAI/F |
100 1# - MAIN ENTRY--AUTHOR NAME | |
Personal name | Mailund, Thomas |
245 10 - TITLE STATEMENT | |
Title | Functional Data Structures in R :advanced statistical programming in R |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Place of publication | New York |
Name of publisher | Apress |
Year of publication | 2020 |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | 1 online resource (XII, 256 pages 57 illustrations, 2 illustrations in color.) |
520 ## - SUMMARY, ETC. | |
Summary, etc | 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. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Computer programming |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Data structures (Computer science) |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Mathematical statistics |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Programming languages (Electronic computers) |
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Programming Techniques |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Probability and Statistics in Computer Science |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Programming Languages, Compilers, Interpreters. |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | BK |
001 - CONTROL NUMBER | |
control field | 21736620 |
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION | |
fixed length control field | m |o d | |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
fixed length control field | cr ||||||||||| |
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER | |
LC control number | 2019754301 |
952 ## - LOCATION AND ITEM INFORMATION (KOHA) | |
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Home library | Shelving location | Date acquired | Full call number | Accession Number | Koha item type |
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Kannur University Central Library | Stack | 08/11/2021 | 005.11 MAI/F | 54822 | BK |