T
Travis N. Vaught
Greetings,
SciPy 0.3 has been released and binaries are available from the
scipy.org site.
http://www.scipy.org
Changes since the 0.1 version (0.1 enjoyed a wide release, there was a
version 0.2 that had limited exposure) include the following:
- general improvements: Added utility functions for constructing arrays
by concatenation, intended mainly for command-line use. Added bmat
constructor for easy creation of block matrices. Added mat constructor
for constructing matrices (where * is matrix multiplication). Added many
PIL utility functions so that if the PIL is installed, image loading,
saving, and other operations are available. Added scipy.info, which
handles dynamic docstrings and class help better than python's help command.
- documentation: much improved
- sparse: superLU upgraded to 3.0
- optimize: Added non-linear conjugate gradient algorithm. Improvements
to BFGS algorithm and Wolfe-condition line-search. Added two CONSTRAINED
optimization techniques. Added simulated annealing and brute-force
optimization strategies and Powell's method. Added many very good 1-D
root-finding routines.
- stats: Added many statistical distributions. Many continuous and
discrete random variables are available with a simple mechanism for
adding new ones. Added several statistical tests.
- special: Added MANY new special functions. |general_function| renamed
to |vectorize| and moved to scipy_base. Improved the way domain errors
are handled (user specified display of problems). More tests on special
functions added.
- fftpack: replaced with fftpack2--can optionally be configured to
support djbfft
- io: Reading of MATLAB .mat files (version 4 and 5) supported. Writing
version 4 .mat files supported. Added very flexible and general_purpose
text file reader. Added shelving save operation to save variables into
an importable module. Routines for reading and writing fortran-records.
- linalg: Linear algebra is greatly improved over SciPy 0.1. ATLAS is
now optional (but encouraged). Most lapack functions have simplified
interfaces (all lapack and blas available). Matrix exponentials and
other matrix functions added.
- signal: Added support for filter design and LTI system analysis.
- xplt: Updated xplt to use newer pygist so that Windows platform is
supported. Addition of several plotting types.
- integrate: added another ODE integrator. Added romberg integration
and several other integration approaches.
The complete release notes can be found here:
http://www.scipy.org/download/scipy_release_notes_0.3.html
You'll also notice that scipy.org is now a spanking new Plone portal
(http://www.plone.org -- keep up the good work, plone folks).
This is the first binary release in a long time and we hope to increase
the frequency to every 6 months or so.
If you'd like to follow or join the community, you can subscribe to the
mailing lists here:
http://www.scipy.org/mailinglists/
Best Regards,
Travis
BTW SciPy is:
-------------
SciPy is an open source library of scientific tools for Python. SciPy
supplements the popular Numeric module, gathering a variety of high
level science and engineering modules together as a single package.
SciPy includes modules for graphics and plotting, optimization,
integration, special functions, signal and image processing, genetic
algorithms, ODE solvers, and others.
SciPy 0.3 has been released and binaries are available from the
scipy.org site.
http://www.scipy.org
Changes since the 0.1 version (0.1 enjoyed a wide release, there was a
version 0.2 that had limited exposure) include the following:
- general improvements: Added utility functions for constructing arrays
by concatenation, intended mainly for command-line use. Added bmat
constructor for easy creation of block matrices. Added mat constructor
for constructing matrices (where * is matrix multiplication). Added many
PIL utility functions so that if the PIL is installed, image loading,
saving, and other operations are available. Added scipy.info, which
handles dynamic docstrings and class help better than python's help command.
- documentation: much improved
- sparse: superLU upgraded to 3.0
- optimize: Added non-linear conjugate gradient algorithm. Improvements
to BFGS algorithm and Wolfe-condition line-search. Added two CONSTRAINED
optimization techniques. Added simulated annealing and brute-force
optimization strategies and Powell's method. Added many very good 1-D
root-finding routines.
- stats: Added many statistical distributions. Many continuous and
discrete random variables are available with a simple mechanism for
adding new ones. Added several statistical tests.
- special: Added MANY new special functions. |general_function| renamed
to |vectorize| and moved to scipy_base. Improved the way domain errors
are handled (user specified display of problems). More tests on special
functions added.
- fftpack: replaced with fftpack2--can optionally be configured to
support djbfft
- io: Reading of MATLAB .mat files (version 4 and 5) supported. Writing
version 4 .mat files supported. Added very flexible and general_purpose
text file reader. Added shelving save operation to save variables into
an importable module. Routines for reading and writing fortran-records.
- linalg: Linear algebra is greatly improved over SciPy 0.1. ATLAS is
now optional (but encouraged). Most lapack functions have simplified
interfaces (all lapack and blas available). Matrix exponentials and
other matrix functions added.
- signal: Added support for filter design and LTI system analysis.
- xplt: Updated xplt to use newer pygist so that Windows platform is
supported. Addition of several plotting types.
- integrate: added another ODE integrator. Added romberg integration
and several other integration approaches.
The complete release notes can be found here:
http://www.scipy.org/download/scipy_release_notes_0.3.html
You'll also notice that scipy.org is now a spanking new Plone portal
(http://www.plone.org -- keep up the good work, plone folks).
This is the first binary release in a long time and we hope to increase
the frequency to every 6 months or so.
If you'd like to follow or join the community, you can subscribe to the
mailing lists here:
http://www.scipy.org/mailinglists/
Best Regards,
Travis
BTW SciPy is:
-------------
SciPy is an open source library of scientific tools for Python. SciPy
supplements the popular Numeric module, gathering a variety of high
level science and engineering modules together as a single package.
SciPy includes modules for graphics and plotting, optimization,
integration, special functions, signal and image processing, genetic
algorithms, ODE solvers, and others.