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History of commit frequency

CVS Commit History:


   2012-10-07 15:57:25 by Aleksej Saushev | Files touched by this commit (211)
Log message:
Drop superfluous PKG_DESTDIR_SUPPORT, "user-destdir" is default these days.
Mark packages that don't or might probably not have staged installation.
   2012-05-11 14:47:07 by ndb | Files touched by this commit (16)
Log message:
EGG_INFODIR in PLIST.
   2012-04-08 21:09:41 by Thomas Klausner | Files touched by this commit (127)
Log message:
Remove python24 and all traces of it from pkgsrc.
Remove devel/py-ctypes (only needed by and supporting python24).
Remove PYTHON_VERSIONS_ACCEPTED and PYTHON_VERSIONS_INCOMPATIBLE
lines that just mirror defaults now.
Miscellaneous cleanup while editing all these files.
   2012-02-10 10:01:10 by ndb | Files touched by this commit (26)
Log message:
PLIST cleanup.
   2012-01-30 03:30:02 by ndb | Files touched by this commit (1)
Log message:
changed dependency.
   2011-02-25 10:47:47 by Thomas Klausner | Files touched by this commit (76)
Log message:
Let's assume for now that everything that worked with python-2.6 also
works with python-2.7.
   2011-01-19 15:38:34 by Kamel Derouiche | Files touched by this commit (5) | Imported package
Log message:
Import py26-scitools-0.7 as wip/py-scitools.

The package is built on top of other widely used packages such as
NumPy, SciPy, ScientificPython, Gnuplot, etc.

SciTools also comes with a plotting interface called Easyviz, which is a
unified interface to various packages for scientific visualization and plotting.
Both curve plots and more advanced 2D/3D visualization of scalar and vector
fields are supported.The Easyviz interface was designed with three ideas in mind
    1) a simple, Matlab-like syntax;
    2) a unified interface to lots of visualization engines (backends):
     Gnuplot, Matplotlib, Grace, Veusz, Pmw.Blt.Graph, PyX, Matlab, VTK, VisIt,
     OpenDX
    3) a minimalistic interface which offers only
basic control of plots: curves, linestyles, legends, title, axis extent
and names More fine-tuning of plots can be done by adding backend-specific
commands

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