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Roger Chen

python-twitter - Google Code - 0 views

code.google.com/python-twitter

python tools twitter

shared by Roger Chen on 12 May 08 - Cached
  • Roger Chen on 12 May 08
     
    This library provides a pure python interface for the Twitter API.
Jing Lai

PyQt4 - PythonInfo Wiki - 0 views

wiki.python.org/PyQt4

programming python qt

shared by Jing Lai on 13 Jul 08 - Cached
  • Jing Lai on 13 Jul 08
     
    python GUI 程式設計必備良藥
Roger Chen

Pyflix - Trac - 0 views

pyflix.python-hosting.com

netflix python

shared by Roger Chen on 29 Jul 08 - Cached
  • Roger Chen on 29 Jul 08
     
    Pyflix is a small package written in Python that provides an easy entry point for getting up and running in the Netflix Prize competition. It combines an efficient storage scheme with an intuitive high-level API that allows contestants to focus on the real problem, the recommendation system algorithm. To get started with Pyflix, keep reading.
Roger Chen

Collaborative filtering made easy - Slope One in Python - 0 views

www.serpentine.com/...laborative-filtering-made-easy

python recommender

shared by Roger Chen on 20 Jul 08 - Cached
  • Roger Chen on 20 Jul 08
     
    An implementaion of algorithm "Slope One" introduced by Daniel Lemire and Anna Maclachlan. The code were written in Python with excellent explanation.
Jing Lai

ByteOfZhpy - zhpy - Google Code - 0 views

code.google.com/...ByteOfZhpy

programming python

shared by Jing Lai on 13 Jul 08 - Cached
  • Jing Lai on 13 Jul 08
     
    python基礎線上電子書
Jing Lai

kJam - 0 views

kjam.org/39

programming web python

shared by Jing Lai on 24 Nov 08 - Cached
Roger Chen

Attribute-Relation File Format (ARFF) - 0 views

www.cs.waikato.ac.nz/...arff.html

data mining python reference

shared by Roger Chen on 30 Jul 08 - Cached
  • Roger Chen on 30 Jul 08
     
    An ARFF (Attribute-Relation File Format) file is an ASCII text file that describes a list of instances sharing a set of attributes. ARFF files were developed by the Machine Learning Project at the Department of Computer Science of The University of Waikato for use with the Weka machine learning software.
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