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Tuples with Named Elements via Spawning

Instead of requiring the named 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 ...
Python
Tuples with Named Elements via Spawning downloadDownload

Remove duplicates from a sequence

... on some pretty subtle properties of the sequence elements, such as whether they're hashable, and whether they support full comparisons. This script defines the unique() function that tries three methods, from fastest to slowest, letting runtime exceptions pick the best method available for the sequence at hand. ...
Python
Remove duplicates from a sequence downloadDownload

Access Cairo surface from numpy and pygame

... so that you can manipulate the bits as a numpy array, or display/manipulate the image in pygame. ...
Python
Access Cairo surface from numpy and pygame downloadDownload

NumPy

... NumPy.  This package contains: - a 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 can also be used as ...
Python
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Implementation of sets using sorted lists

... 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 using fast-slicing. - Algorithms ...
Python
Implementation of sets using sorted lists downloadDownload

Find the most frequent elements

... list of the most common to least common elements and their counts. If n is specified, return only the n most common elements. ...
Python
Find the most frequent elements downloadDownload

More accurate sum

... Numeric/numarray introduce a large error when summing large arrays of like elements. This script contains a function that makes sums with error ... any additional memory (although it destroys the data array), and also runs asymptotically faster for unlimited precision ...
Python
More accurate sum downloadDownload

PyEphem

... any asteroids, comets, or earth satellites whose orbital elements the user can provide.Additional functions are provided to compute the angular separation between two objects in the sky, to determine the constellation in which an object lies, and to find the times at which an object rises, transits, and sets on ...
Python
PyEphem downloadDownload

min max peaks with Numeric

Given a large one-dimensional array, this script breaks it into blocks of contstant length and compute min and max for each block, the so-called "peaks data". ...
Python
min max peaks with Numeric downloadDownload

Splicing of lists

This script splices any number of nonempty lists as one list. Each input list may be of different length.Elements of shorter lists may be recycled when the keyword argument recycle is set to True. Any error result in an empty output list. ...
Python
Splicing of lists downloadDownload

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