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Python Time Python scripts

Observer Pattern

This is a Python implementation of the observer pattern. It defines a one-to many dependency between objects so that when one object changes state, all its dependents are notified and updated automatically. ...
Python

Wolfram style cellular automata

This is a little script that uses Python to generate the cellular automata that Wolfram discusses ... New Kind of Scilfram disquot;.The script uses the Python Imaging Library to render the output, but you could replace this with text or any other method of visualization. ...
Python

Fractal tree

... graphics. It is a good example of how Python's powerful data structures, combined with a vast body ... user friendly code. The code was tested with Python 2.3 and 2.4. ...
Python

Drawing inheritance diagrams with Dot

... graph description language developed at MIT. Combined with Python, it makes an ideal tool to automatically generate diagrams. This script produces beautiful inheritance diagrams for Python classes (and metaclasses too). In particular the recipe allows to display the MRO (Method Resolution Order) for complicate inheritance hierarchies. ...
Python

Maintenance free Signals implementation

This is a signals implementation for python. It is similar to the pydispatch module. This implementation enables you to create Signals as members of classes, as globals, or as locals. You may connect any number of functions or class methods to any signal. Connections manage themselves with the weakref module. ...
Python

Composite design pattern using dictionaries

... used to process hierarchical, tree-based data structures using Python dictionaries. ...
Python

Separating Pattern Implementation from Your Code

This script separates pattern implementation from your code so that you can reuse the implementation elsewhere. It is an example that shows a reusable implementation of the Observer pattern. ...
Python

Metaclass Class Policies

This code implements the policy design pattern in Python by using metaclasses and multiple inheritance. ...
Python

NumPy

The fundamental package needed for scientific computing with Python is called NumPy.  This package contains: - a ... make most of the necessary changes to your Python code that used Numeric to work with NumPy's Numeric compatibility module. Users of numarray can also transition their code using a similar module (numpy.numarray.alter_code1) ...
Python

Modular toolkit for data processing

Modular toolkit for Data Processing (MDP) is a Python data processing framework. Implemented algorithms include: Principal Component Analysis (PCA), Independent Component Analysis (ICA), Slow Feature Analysis (SFA), Growing Neural Gas (GNG), Factor Analysis, Fisher Discriminant Analysis (FDA), and Gaussian Classifiers. From the user's perspective, MDP consists of a collection of ...
Python

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