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Tuples with Named Elements via Spawning

... attributes list for each instantiation of the tuple, this implementation 'Spawns' a derived tuple class that is taylored to the named attributes specified. And it is this Spawned class that is then used to instantiate tuples. This approach effectively separates the definition of the attribute names from the data specification. And in ...
Python
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Factorial

... number and for negative numbers returns 1.The recursive implementation of factorial is easy but using lambda keyword of python it becomes a bit tough as we can't use conditional if else in lambda. If a user wants to return a factorial function on the fly using lambda than this may ...
Python
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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
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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 ...
Python
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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
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Modular toolkit for data processing

... 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 ... number of phases. This allows for example the implementation of algorithms that need to collect some statistics ...
Python
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Basic Linear Algebra Matrix

This script defines the Matrix class, an implementation of a linear algebra matrix. Arithmetic operations, trace, ... matricies. There is no separate vector class. This implementation enforces the distinction between row and column vectors. ...
Python
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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
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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
Implementation of sets using sorted lists downloadDownload

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
Two pass Pairing Heap with Auxiliary List downloadDownload

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