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http://scikit-learn.org/dev/index.html Easy-to-use and general-purpose machine learning in Python Scikit-learn integrates machine learning algorithms in the tightly-knit scientific Python world, building upon numpy , scipy , and matplotlib .

machine learning in Python — scikit-learn 0.13-git documentation

Welcome to PyLucene

What is PyLucene ? PyLucene is a Python extension for accessing Java Lucene TM . Its goal is to allow you to use Lucene's text indexing and searching capabilities from Python. It is API compatible with the latest version of Java Lucene, version 3.6.1 as of August 24th, 2012. PyLucene is not a Lucene port but a Python wrapper around Java Lucene. PyLucene embeds a Java VM with Lucene into a Python process. http://lucene.apache.org/pylucene/
py-diffbot is a command line terminal client and python library for the Diffbot article extraction and analysis API. Developer Token To use the client or Python library you will need to include a developer token, which can be obtained by submitting a request at the Diffbot website. http://www.diffbot.com/docs/token Getting Source $ hg clone http://bitbucket.org/nik/py-diffbot/ diffbot https://bitbucket.org/nik/py-diffbot/wiki/Home

nik / py-diffbot

neurolab - Simple and powerfull neural network library for python

Neurolab is a simple and powerful Neural Network Library for Python. Contains based neural networks, train algorithms and flexible framework to create and explore other networks. Features http://code.google.com/p/neurolab/

Latent Semantic Analysis in Python | Joseph Wilk

http://blog.josephwilk.net/projects/latent-semantic-analysis-in-python.html Latent Semantic Analysis (LSA) is a mathematical method that tries to bring out latent relationships within a collection of documents. Rather than looking at each document isolated from the others it looks at all the documents as a whole and the terms within them to identify relationships. An example of LSA: Using a search engine search for “ sand “.
About Whoosh Whoosh is a fast, featureful full-text indexing and searching library implemented in pure Python. Programmers can use it to easily add search functionality to their applications and websites. Every part of how Whoosh works can be extended or replaced to meet your needs exactly. Some of Whoosh's features include: Pythonic API. https://bitbucket.org/mchaput/whoosh/wiki/Home

Whoosh search

Cocoa Frameworks The Cocoa frameworks consist of libraries, APIs, and runtimes that form the development layer for all of Mac OS X. By developing with Cocoa, you will be creating applications the same way Mac OS X itself is created. Your application will automatically inherit the great behaviors and appearances of Mac OS X, with full access to the underlying power of the UNIX operating system. Using Cocoa with the Xcode IDE is simply the best way to create native Mac applications. The Power of Objective-C http://developer.apple.com/cocoa/pyobjc.html

Using PyObjC for Developing Cocoa Applications with Python

General Licensing What happened to the 30-day trial version of EPD? With the release of EPD Free , we stopped distributing trial versions of EPD. EPD Free allows potential customers to try out our single-click cross-platform installers and begin working with essential libraries. This way, their toolset remains useful even if they choose not to upgrade. http://www.enthought.com/products/epdfaq.php

EPD - Frequently Asked Questions (FAQ) :: Products :: Enthought, Inc.

Twisted

http://twistedmatrix.com/trac Twisted is an event-driven networking engine written in Python and licensed under the open source MIT license . Twisted makes it easy to implement custom network applications. Here's a TCP server that echoes back everything that's written to it:
by Leonard Richardson (leonardr@segfault.org) 这份文档也有中文版了 (This document is also available in Chinese translation) Этот документ также доступен в русском переводе. [Внешняя ссылка] (This document is also available in Russian translation. [External link])

Beautiful Soup documentation

Beautiful Soup: We called him Tortoise because he taught us.

You didn't write that awful page. You're just trying to get some data out of it. Beautiful Soup is here to help. Since 2004, it's been saving programmers hours or days of work on quick-turnaround screen scraping projects. If you have questions, send them to the discussion group .
Written in 100% pure Python. It is small, simple and extremely portable - it runs everywhere Python runs and TCP/IP networking is available. Partial support for Jython.

Pyro - Features

Extracting bibliographic information from web services

Package Index : biblio.webquery 0.4.3b

Package Index : django-pingback 0.1.4

Pingback client/server implementation for Django framework.