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PROGRAMMING PYTHON: POWERFUL OBJECT-ORIENTED PROGRAMMING (COVERS PYTHON 3.X), 4TH EDITION
NRS 4480.00
 
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PARALLEL R: DATA ANALYSIS IN THE DISTRIBUTED WORLD
It’stough to argue with r as a high-quality, cross-platform, open sourcestatistical software product—unless you’re in the business of crunching bigdata. this concise book introduces you to several strategies for using r toanalyze large datasets. you’ll learn the basics of snow, multicore, parallel,and some hadoop-related tools, including how to find them, how to use them,when they work well, and when they don’t. withthese packages, you can overcome r’s single-threaded nature by spreading workacross multiple cpus, or offloading work to multiple machines to address r’smemory barrier. snow: works well in a traditional cluster environment multicore: popular for multiprocessor and multicore computers parallel: part of the upcoming r 2.14.0 release r+hadoop: provides low-level access to a popular form of cluster computing rhipe: uses hadoop’s power with r’s language and interactive shell segue: lets you use elastic mapreduce as a backend for lapply-style operations

Author : Stephen weston, q ethan mccallum
Publication : Oreilly
Isbn : 9789350236802
Store book number : 105
NRS 440.00
  
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