Haskell data analysis cookbook : (Record no. 2775098)

MARC details
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007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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fixed length control field 140710t20142014enka o 001 0 eng d
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781783286348
Qualifying information (e-book)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1783286342
Qualifying information (e-book)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1783286334
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781783286331
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1306902827
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781306902823
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9781783286331
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035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)884590327
Canceled/invalid control number (OCoLC)882610624
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037 ## - SOURCE OF ACQUISITION
Stock number CL0500000459
Source of stock number/acquisition Safari Books Online
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.73.H37
Item number .S585 2014eb
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM
Subject category code subdivision 051010
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.133
Edition number 23
049 ## - LOCAL HOLDINGS (OCLC)
Holding library MAIN
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Shukla, Nishant,
Dates associated with a name 1992-
Relator term author.
9 (RLIN) 1018616
245 10 - TITLE STATEMENT
Title Haskell data analysis cookbook :
Remainder of title explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes /
Statement of responsibility, etc Nishant Shukla ; cover image by Jarek Blaminsky.
264 #1 -
-- Birmingham [England] :
-- Packt Publishing,
-- 2014.
264 #4 -
-- ©2014
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (334 pages) :
Other physical details illustrations (some color).
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
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-- rdacarrier
347 ## -
-- text file
-- rda
490 1# - SERIES STATEMENT
Series statement Quick answers to common problems
588 0# -
-- Online resource; title from PDF title page (ebrary, viewed July 10, 2014).
500 ## - GENERAL NOTE
General note Includes index.
520 ## - SUMMARY, ETC.
Summary, etc Step-by-step recipes filled with practical code samples and engaging examples demonstrate Haskell in practice, and then the concepts behind the code. This book shows functional developers and analysts how to leverage their existing knowledge of Haskell specifically for high-quality data analysis. A good understanding of data sets and functional programming is assumed.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: The Hunt for Data; Introduction; Harnessing data from various sources; Accumulating text data from a file path; Catching I/O code faults; Keeping and representing data from a CSV file; Examining a JSON file with the aeson package; Reading an XML file using the HXT package; Capturing table rows from an HTML page; Understanding how to perform HTTP GET requests; Learning how to perform HTTP POST requests; Traversing online directories for data
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Using MongoDB queries in HaskellReading from a remote MongoDB server; Exploring data from a SQLite database; Chapter 2: Integrity and Inspection; Introduction; Trimming excess whitespace; Ignoring punctuation and specific characters; Coping with unexpected or missing input; Validating records by matching regular expressions; Lexing and parsing an e-mail address; Deduplication of nonconflicting data items; Deduplication of conflicting data items; Implementing a frequency table using Data.List; Implementing a frequency table using Data.MultiSet; Computing the Manhattan distance
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Computing the Euclidean distanceComparing scaled data using the Pearson correlation coefficient; Comparing sparse data using cosine similarity; Chapter 3: The Science of Words; Introduction; Displaying a number in another base; Reading a number from another base; Searching for a substring using Data.ByteString; Searching a string using the Boyer-Moore-Horspool algorithm; Searching a string using the Rabin-Karp algorithm; Splitting a string on lines, words, or arbitrary tokens; Finding the longest common subsequence; Computing a phonetic code; Computing the edit distance
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Computing the Jaro-Winkler distance between two stringsFinding strings within one-edit distance; Fixing spelling mistakes; Chapter 4: Data Hashing; Introduction; Hashing a primitive data type; Hashing a custom data type; Running popular cryptographic hash functions; Running a cryptographic checksum on a file; Performing fast comparisons between data types; Using a high-performance hash table; Using Google's CityHash hash functions for strings; Computing a Geohash for location coordinates; Using a bloom filter to remove unique items; Running MurmurHash, a simple but speedy hashing algorithm
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Measuring image similarity with perceptual hashesChapter 5: The Dance with Trees; Introduction; Defining a binary tree data type; Defining a rose tree (multiway tree) data type; Traversing a tree depth-first; Traversing a tree breadth-first; Implementing a Foldable instance for a tree; Calculating the height of a tree; Implementing a binary search tree data structure; Verifying the order property of a binary search tree; Using a self-balancing tree; Implementing a min-heap data structure; Encoding a string using a Huffman tree; Decoding a Huffman code; Chapter 6: Graph Fundamentals
590 ## - LOCAL NOTE (RLIN)
Local note eBooks on EBSCOhost
Provenance (VM) [OBSOLETE] EBSCO eBook Subscription Academic Collection - Worldwide
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Haskell (Computer program language)
9 (RLIN) 384721
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Haskell (Langage de programmation)
9 (RLIN) 975056
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element COMPUTERS
General subdivision Programming Languages
-- General.
Source of heading or term bisacsh
9 (RLIN) 854919
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Haskell (Computer program language)
Source of heading or term fast
-- (OCoLC)fst00951830
9 (RLIN) 384721
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Genre/form data or focus term Electronic books.
655 #4 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Blaminsky, Jarek,
Relator term cover designer.
9 (RLIN) 376868
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Print version:
Main entry heading Shukla, Nishant.
Title Haskell data analysis cookbook : explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes.
Place, publisher, and date of publication Birmingham, [England] : Packt Publishing, ©2014
Physical description v, 315 pages
International Standard Book Number 9781783286331
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Quick answers to common problems.
9 (RLIN) 871615
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=805419">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=805419</a>
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Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Home library Current library Date acquired Total Checkouts Date last seen Price effective from Koha item type
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