Sponsorised links
September 2008
Disco
by greut
Disco is an open-source implementation of the Map-Reduce framework for distributed computing. As the original framework, Disco supports parallel computations over large data sets on unreliable cluster of computers.
The Disco core is written in Erlang, a functional language that is designed for building robust fault-tolerant distributed applications. Users of Disco typically write jobs in Python, which makes it possible to express even complex algorithms or data processing tasks often only in tens of lines of code. This means that you can quickly write scripts to process massive amounts of data.
Disco was started at Nokia Research Center as a lightweight framework for rapid scripting of distributed data processing tasks. This far Disco has been succesfully used, for instance, in parsing and reformatting data, data clustering, probabilistic modelling, data mining, full-text indexing, and log analysis with hundreds of gigabytes of real-world data.
Erlang + Python = complete beautifulness
July 2008
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June 2008
February 2008
November 2007
October 2007
teideal glic deisbhéalach » Blog Archive » Collaborative filtering made easy
by greut
& 2 others
a Python implementation of Daniel Lemire’s Weighted Slope One collaborative filtering
a simple overview of collaborative filtering
September 2007
Google Code for Educators - Google: MapReduce in a Week
by greut
July 2007
April 2007
[Xiru].org — Python Genetic Algorithms
by greut
& 1 other
March 2007
February 2007
January 2007
