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Dictionary Mixin Framework

... .get() method but not any of the iter functions. The reason for implementing the full dictionary interface is to maximize substitutability. Given code that was designed to work with a dictionary, an object of your class (with the mixin) can be substituted for the dictionary.Some modules like shelve implement a ...
Python
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ASTVisitor generator

... includes stubs for all of the various visitNODE functions that you might need in a visitor, along with comments in each function that list that node type's attributes. ...
Python
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Maintenance free Signals implementation

... as locals. You may connect any number of functions or class methods to any signal. Connections manage ... also have arguments as long as all connected functions are callable with the same arguments ...
Python
Maintenance free Signals implementation downloadDownload

Caching object creation

This script contains many recipes to memoize functions. Using this script you can cache object creation, i.e. __new__ and __init__ methods are called only when n.e. __newt;br >/ ...
Python
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NumPy

... powerful N-dimensional array object - sophisticated (broadcasting) functions - basic linear algebra functions - basic Fourier transforms - sophisticated random number capabilities - tools for integrating Fortran code. Besides it's obvious scientific uses, NumPy ...
Python
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Manipulating infinite lists

This script contains some useful functions which work on infinite lists, including generalized versions of map, filter, zip on gLists. ...
Python
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Summary reports using itertools groupby

... item). The key and value arguments should be functions which, given a data record, return the relevant value. ...
Python
Summary reports using itertools groupby downloadDownload

Type checked argument lists with decorators

... to systematically check the argument types for type-sensitive functions. ...
Python
Type checked argument lists with decorators downloadDownload

More accurate sum

Built-in "sum" function, as well as add.reduce functions in Numeric/numarray introduce a large error when summing large arrays of like elements. This script contains a function that makes sums with error less than 1e-15. It doesn't use any additional memory (although it destroys the data array), and also runs asymptotically faster for unlimited ...
Python
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Timeit module wrapper

... wrapper function for doing quick tests of your functions using the timeit module.The timeit module provides an easy way of testing the performance of your Python code by running it in many iterations and averaging the timings. However it is not very obvious how to write a simple test case ...
Python
Timeit module wrapper downloadDownload

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