Age | Commit message (Collapse) | Author | Files | Lines |
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Bump PKGREVISION.
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either because they themselves are not ready or because a
dependency isn't. This is annotated by
PYTHON_VERSIONS_INCOMPATIBLE= 33 # not yet ported as of x.y.z
or
PYTHON_VERSIONS_INCOMPATIBLE= 33 # py-foo, py-bar
respectively, please use the same style for other packages,
and check during updates.
Use versioned_dependencies.mk where applicable.
Use REPLACE_PYTHON instead of handcoded alternatives, where applicable.
Reorder Makefile sections into standard order, where applicable.
Remove PYTHON_VERSIONS_INCLUDE_3X lines since that will be default
with the next commit.
Whitespace cleanups and other nits corrected, where necessary.
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SciPy 0.12.1 is a bug-fix release with no new features compared to
0.12.0. The single issue fixed by this release is a security issue in
``scipy.weave``, which was previously using temporary directories in
an insecure manner under certain circumstances.
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Changes many - see doc/release/ in the source tarball for details
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SciPy 0.7.2 is a bug-fix release with no new features compared to 0.7.1. The
only change is that all C sources from Cython code have been regenerated with
Cython 0.12.1. This fixes the incompatibility between binaries of SciPy 0.7.1
and NumPy 1.4.
SciPy 0.7.1 is a bug-fix release with no new features compared to 0.7.0.
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that list Fortran in used languages.
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after Python 2.3 has been removed from "pkgsrc".
Approved by Thomas Klausner.
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SciPy 0.7.0 is the culmination of 16 months of hard work. It contains
many new features, numerous bug-fixes, improved test coverage and
better documentation. There have been a number of deprecations and
API changes in this release, which are documented below. All users
are encouraged to upgrade to this release, as there are a large number
of bug-fixes and optimizations.
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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.
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