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Fractal tree

... is a good example of how Python's powerful data structures, combined with a vast body of modules can be used to write concise and user friendly code. The code was tested with Python 2.3 and 2.4. ...
Python
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Composite design pattern using dictionaries

... It can be used to process hierarchical, tree-based data structures using Python dictionaries. ...
Python
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Priority queue script

... allows specification of the relative order of the data.   ...
Python
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NumPy

... used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide-variety of databases. NumPy derives from the old Numeric code base ...
Python
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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 ... of 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 takes care of successively training or executing ...
Python
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Natural Language Toolkit

... Language Toolkit, is a suite of program modules, data sets and tutorials supporting research 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, ...
Python
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Quick and easy FIFO queue class

... easy First-In-First-Out queue class based on Python's List data structure. ...
Python
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Symmetric data obfuscation using xor

... be conveniently used to obfuscate a string of data using simple xor without using any key. ...
Python
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Implementation of sets using sorted lists

... set operations using sorted lists as the underlying data structure. Advantages: - Space savings -- lists ... - Fast operations depending on the underlying data patterns. - Non-overlapping sets get united, intersected, or differenced with only log(N) element comparisons.Results are built using fast-slicing. - Algorithms are designed ...
Python
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Summary reports using itertools groupby

This script produces a summary of the data, grouped by the given key (default: the first ... value arguments should be functions which, given a data record, return the relevant value. ...
Python
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