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  * Fftw-numpy
  [http://pylab.sourceforge.net/ [details]]
  [http://pylab.sourceforge.net/packages/fftw-numpy-0.6.2.tar.gz [source]]

  Fftw-numpy is a generic wrapping of the FFTW-2.1.3 C-library into
  Python done using SWIG. FFTW is advertised as a very fast
  implementation of the FFT and I believe it lives up to its
  billing. It has support for arbitrary N-dimensional arrays as well
  as fast real-to-complex FFT's. As part of the package, I have
  included a module called FFT2 that can act as a drop-in replacement
  for FFT in NumPy (except there is no real-to-complex transform
  yet). There is also a benchmark script that shows that FFT2 is about
  18-25% faster than fftpack (at least on pentium machines). There is
  also support for arbitrary multidimensional transforms (not just
  2-D). (Travis Oliphant)
  * SciPy -- http://www.scipy.org
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  * Signaltools
  [http://pylab.sourceforge.net/ [details]]
  [http://pylab.sourceforge.net/packages/signaltools-0.5.3.tar.gz [source]]

  A work in progress toolbox intended to contain most of the signal
  processing functionality available in other array-oriented systems
  like MATLAB. the included routines are fast N-D convolution and N-D
  correlation procedures for use when filtering big datasets with
  small kernels and a fast N-D order statistic filter routine. (A
  median filter is an example of an order-filter and is also
  included). There is also a routine to filter along an arbitrary
  dimension of an N-D array with a rational transfer function filter
  (like the filter function in MATLAB) and a remez-exchange algorithm.
  Recently added are an N-D median filter and an N-D wiener filter.
  (Travis Oliphant)
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  * Multipack
  [http://pylab.sourceforge.net/ [details]]
  [http://pylab.sourceforge.net/ [source]]

  A collection of FORTRAN routines interfaced with NumPy. There are
  modules for special function evaluation, signal and image
  processing, and modules that wrap common FORTRAN functions from
  ODEPACK, MINPACK, and QUADPACK. (Travis Oliphant)
  * SciPy -- http://www.scipy.org
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==== Linear Programming ==== ==== Mixed Integer and Linear Programming ====
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  Lp_solve5 (5.1 and %.5) - New one, NO python binding yet. Volunteers needed for python binding.
  It has CPLEX, LINDO, AMPL/MathProg, etc. formats.

  * GLPK (GNU Linear Programming Kit)
  Has python binding for 4.7 but not for 4.8. No debian packages

  * optimize
  [http://pylab.sourceforge.net/ [details]]
  FIXME broken link (netpedia.net is gone...)
   http://oliphant.netpedia.net/packages/optimize.py [source]
   ((is it this ?: [http://pylab.sourceforge.net/packages/optimize.py http://pylab.sourceforge.net/packages/optimize.py] ))

  A module containing optimization algorithms written in pure
  Python. Currently it contains implementations of the Nelder-Mead
  simplex algorithm, the Broyden-Fletcher-Goldfarb-Shanno (BFGS)
  quasi-Newton algorithm, and a line-search conjugate-gradient Newton
  algorithm for minimizing a function of many variables. (Travis
  * Lp_solve5 (5.1 and 5.5) Mixed Integer Programming (MIP) and LP - New ones, NO python binding yet. Volunteers needed for python bindings.
  [http://groups.yahoo.com/group/lp_solve/ [details]]
  [http://groups.yahoo.com/group/lp_solve/ [source]]
  CPLEX, LINDO, AMPL/MathProg, LP etc. formats supported. (Noli Sicad)

  * GLPK (GNU Linear Programming Kit) MIP and LP
  [http://www.gnu.org/software/glpk/glpk.html [details]]
  [http://www.gnu.org/software/glpk/glpk.html [source]]
    Python bindings [http://rpm.pbone.net/index.php3/stat/4/idpl/1709746/com/python-glpk-0.4-2mdk.i586.rpm.html [source]]
  Has python bindings for 4.7 and can be used for 4.8. No debian package (use RPM then Alien for debian)
  CPLEX, LINDO, AMPL/MathProg, LP etc. formats supported as well. (Noli Sicad)

  * SciPy -- http://www.scipy.org
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  * SparsePy
  [http://pylab.sourceforge.net/ [details]]
  [http://pylab.sourceforge.net/packages/SparsePy-0.1.tar.gz [source]]

  A module that implements a sparse matrix class for Python. The
  attributes of the class are Numeric arrays and the methods are based
  on the included toolkits SPARSEKIT2 by Yousef Saad (in FORTRAN) and
  SuperLU (in C) by Xiaoye Li and Jim Demmel. Note: You need the BLAS
  library (in LAPACK at netlib or from your vendor) and a FORTRAN
  compiler to compile this package. (The binary for Linux just needs
  Python and NumPy). (Travis Oliphant)
  * SciPy -- http://www.scipy.org
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  * Quadrature
  [http://pylab.sourceforge.net/ [details]]
  [http://pylab.sourceforge.net/packages/quadrature.py [source]]

  A module that allows one to perform Gaussian Quadrature (numerical integration) over a finite interval for arbitrary Python functions.
  (Travis Oliphant)
  * SciPy -- http://www.scipy.org
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  * Cephesmodule
  [http://pylab.sourceforge.net/ [details]]
  [http://oliphant.netpedia.net/packages/cephes-1.2.tar.gz [source]]

  A module patterned after the umath (ufuncs) module that comes with
  Numerical Python; it makes most of the special functions (like
  elliptic, and modified Bessel) from the cephes and amos libraries
  available to python. (Travis Oliphant)
  * SciPy -- http://www.scipy.org
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  * Rpy
  [http://rpy.sourceforge.net/ [details]]
  [http://rpy.sourceforge.net/ [source]]
  RPy is a very simple, yet robust, Python interface to the R Programming Language.
  [http://www.r-project.org/ [source]]. It can manage all kinds of R objects and can execute arbitrary R functions (including the graphic functions). All errors from the R language are converted to Python exceptions. Any module installed for the R system can be used from within Python. (Noli Sicad)

  * SciPy -- http://www.scipy.org

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





Mixed Integer and Linear Programming



  • 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

Number Theory


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


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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