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Python Implementation scripts

Modular toolkit for data processing

Modular toolkit for Data Processing (MDP) is a Python data processing framework. Implemented algorithms include: Principal Component ... perspective, MDP is a framework to make the implementation of new algorithms easier. The basic class 'Node' ... leaving the developer free to concentrate on the implementation of the training and execution phases. The node ...
Python

Quick and easy FIFO queue class

... is an easy First-In-First-Out queue class based on Python's List data structure. ...
Python

Basic Linear Algebra Matrix

This script defines the Matrix class, an implementation of a linear algebra matrix. Arithmetic operations, trace, ... This is a lightweight alternative to a numerical Python package for people who need to do basic ... matricies. There is no separate vector class. This implementation enforces the distinction between row and column vectors. ...
Python

Charlemagne

... a broad range of problems.It is written in Python and Lisp and to some degree is extensible ... to define complex fitness calculators in Lisp or Python. Requirements: · CLISP ...
Python

Binary search in one line

This is an implementation of the binary search algorithm in (almost) one line. Given a number 'n' and a list 'L', the function returns the index of the number on the list, or -1. ...
Python

Improved Gray Scale Quantization

... false contouring in images, and image compression. This Python program generates the IGS codes for a set of input gray level values. ...
Python

Quantum Superposition

This script lets you treat  python sets.The constructor takes any number of scalars and/or Superposition instances. These items are the possible states. When doing scalar operations on such objects, the operation is delegated to its possible statbjects, tr >/ ...
Python

Implementation of sets using sorted lists

... are much more compact than a dictionary based implementation. - Flexibility -- elements do not need to be hashable, only __cmp__ is required. - 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 ...
Python

High performance currying with instance method

... the resulting callable: it avoids nesting an extra Python function call, which may be important.  ...
Python

Two pass Pairing Heap with Auxiliary List

... you to manage data collections.For random data, this implementation still makes more comparisons than a sort using heapq or the builtin sort. For partially ordered data, it can perform better than the builtin sort. Because of the list of lists data structure, it always takes more memory than either heapq ...
Python

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