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==== Number Theory ====


  * logic
  [http://www.ourobourus.com [details FIXME: empty page ]]
  [http://www.ourobourus.com/logic.py-1.0.1.zip [source FIXME: broken link]]

  A class which provides pure 2, 3 and multi-value (fuzzy) logic.
  (Mark Summerfield)
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  [http://starship.python.net/crew/hinsen/scientific.html [details]]
  [http://starship.python.net/crew/hinsen/ScientificPython-2.2.tar.gz [source]]
  [http://dirac.cnrs-orleans.fr/ScientificPython/ [details]]
  [http://sourcesup.cru.fr/projects/scientific-py/ [download]]
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  visualization via VRML, and two Tk widgets for simple line plots and
  3D wireframe models. (Konrad Hinsen)
  visualization via VRML, two Tk widgets for simple line plots and
  3D wireframe models, and support for ParallelProcessing. (KonradHinsen)

The following are links to scientific software libraries that have been recommended by Python users.

This page lists a number of packages related to numerics, number crunching, signal processing, financial modeling, linear programming, statistics, data structures, date-time processing, random number generation, and crypto.

Data Structures

Date/Time

FFT

Finance

Interface

Mixed Integer and Linear Programming

Matrix/Vector

Music

  • ratio

    [http://www.execpc.com/~wsannis/ratio.html [details]] [http://www.execpc.com/~wsannis/ratio.py.txt [source]] For those who are big fans of Just Intonation, one tedious aspect of this is that you end up fondling ratios a lot. The math gets boring after a while, though I do believe you should be able to do the math on your own to get a feel for what it is you're doing. Having said that, I decided I needed some help because I got sick of reducing multiplied ratios. I've written a quick Python module, ratio.py, which handles a lot of the tedium. In particular, building up JI tetrachords and scales based on justly intuned chords or by katapyknosis is pretty simple with this module. (William Annis)

Neural Networks

Numerics

Other Tools

Random Number Generators

  • ccrandom

    [http://www.ccraig.org/software [details]] [http://www.ccraig.org/software/ccrandom.py [source]] This module is mostly compatible with Python's random module, but uses Linux or BSD's /dev/urandom device to generate numbers, thus yielding more random output than the default Python module. (Christopher A. Craig)

  • crng ((FIXME: both links broken))

    [http://www.sbc.su.se/~per/crng [details]] [http://www.sbc.su.se/~per/crng/crng-1.1.tar.gz [source]] The Python module crng implements random-number generators (RNGs) based on several different algorithms producing uniform deviates in the open interval (0,1), i.e. exclusive of the end-point values 0 and 1. A few continuous and integer-valued non-uniform deviates are also available. Each RNG algorithm is implemented as a separate Python extension type. The RNG types are independent of each other, but have very similar interfaces. The entire module is implemented as one single C source code file. (Per J. Kraulis)

  • MTRand ((FIXME: both links broken))

    [http://www.dorb.com/darrell/randomNumber/ [details]] [http://www.dorb.com/darrell/randomNumber/Rand.zip [source]] Mersenne Twister random number generator. Far longer period and far higher order of equidistribution than any other implemented generators. Fast generation and efficient use of memory. (Darrell Gallion)

Special Functions

Statistics

For more information on related numeric packages, see the [http://www.python.org/pypi Python Package Index].

NumericAndScientific/Libraries (last edited 2014-05-26 15:03:26 by PaulBoddie)

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