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Modular toolkit for data processing

Modular toolkit for Data Processing (MDP) is a Python data processing framework. Implemented algorithms include: Principal Component Analysis (PCA), ... trainable supervised and unsupervised algorithms or other data processing units (nodes) that can be combined into data processing flows. Given a sequence of input data, MDP ... complex algorithms as a sequence of simpler data processing steps in a natural way. Training can be ...
Python
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Natural Language Toolkit

... and teaching in computational linguistics and natural language processing. NLTK is ideally suited to students who are learning NLP (natural language processing) or conducting research in NLP or closely related areas, including empirical linguistics, cognitive science, artificial intelligence, information retrieval, and machine learning.NLTK has been used ...
Python
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Manipulating infinite lists

This script contains some useful functions which work on infinite lists, including generalized versions of map, filter, zip on gLists. ...
Python
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Improved Gray Scale Quantization

... used for the elimination of false contouring in images, and image compression. This Python program generates the IGS codes for a set of input gray level values. ...
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Summary reports using itertools groupby

... item). The key and value arguments should be functions which, given a data record, return the relevant value. ...
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Type checked argument lists with decorators

... to systematically check the argument types for type-sensitive functions. ...
Python
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More accurate sum

Built-in "sum" function, as well as add.reduce functions in Numeric/numarray introduce a large error when summing large arrays of like elements. This script contains a function that makes sums with error less than 1e-15. It doesn't use any additional memory (although it destroys the data array), and also runs asymptotically faster for unlimited ...
Python
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Timeit module wrapper

... wrapper function for doing quick tests of your functions using the timeit module.The timeit module provides an easy way of testing the performance of your Python code by running it in many iterations and averaging the timings. However it is not very obvious how to write a simple test case ...
Python
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Encoding A String

The main purpose of these functions are to allow encoding a string from base 256 to a special base 255. The function view the strings as numbers and simply change what base they are written in. This is not recommended for very long strings; otherwise, the encoding and decoding process ...
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Caching decorator with timeout invalidation

... page, but would still like to cache individual functions that are used to build the page. The selective invalidation is typically used when some action occurs that makes some of the cache results invalid; for example, if you're displaying message board posts, and a user posts a new message, you ...
Python
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