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Reloading all modules

... module, you can use a test script wich import your module. But you probably have noticed that ... made changes in the code.This is because the import statement check if the module is already in memory and do the import stuff only when this is mandated. You can ... do changes in a module wich isn't directly imported by your test script.A good solution could be ...
Python
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Null Object Design Pattern

... an 'intelligent' replacement for the often used primitive data type None in Python or Null (or Null ... These are used for many purposes including the important case where one member of some group of otherwise similar elements is special for whatever reason. Most often this results in conditional statements to ...
Python
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Tuples with Named Elements via Spawning

... the definition of the attribute names from the data specification. And in doing so, this approach diminishes instantiation hassles and further improves clarity. ...
Python
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Descriptive statistical analysis tool

... used for computing numerical statistics for a given data set.This recipe implements a descriptive statistical analysis class. ... aid in computing numerical statistics for a given data set. It's well documented and hopefully useful. ...
Python
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Sparse

... matrix class based on a dictionary to store data using 2-element tuples (i,j) as keys (i is the row and j the column index). The common matrix operations such as 'dot' for the inner product, multiplication/division by a scalar, indexing/slicing, etc. are overloaded for convenience.When used in conjunction with the ...
Python
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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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