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pkgsrc/math/py-numpy/Makefile@1.27
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pkgsrc/math/py-numpy/patches/patch-aa@1.4 / diff
pkgsrc/math/py-numpy/patches/patch-numpy_core_setup.py@1.1 / diff
pkgsrc/math/py-numpy/patches/patch-numpy_distutils_fcompiler_g95.py@1.2 / diff
pkgsrc/math/py-numpy/patches/patch-numpy_distutils_fcompiler_gnu.py@1.5 / diff
pkgsrc/math/py-numpy/patches/patch-numpy_distutils_fcompiler_intel.py@1.1 / diff
pkgsrc/math/py-numpy/PLIST@1.12 / diff
pkgsrc/math/py-numpy/buildlink3.mk@1.4 / diff
pkgsrc/math/py-numpy/distinfo@1.12 / diff
pkgsrc/math/py-numpy/patches/patch-aa@1.4 / diff
pkgsrc/math/py-numpy/patches/patch-numpy_core_setup.py@1.1 / diff
pkgsrc/math/py-numpy/patches/patch-numpy_distutils_fcompiler_g95.py@1.2 / diff
pkgsrc/math/py-numpy/patches/patch-numpy_distutils_fcompiler_gnu.py@1.5 / diff
pkgsrc/math/py-numpy/patches/patch-numpy_distutils_fcompiler_intel.py@1.1 / diff
Changes 1.8.0:
* New, no 2to3, Python 2 and Python 3 are supported by a common code base.
* New, gufuncs for linear algebra, enabling operations on stacked arrays.
* New, inplace fancy indexing for ufuncs with the ``.at`` method.
* New, ``partition`` function, partial sorting via selection for fast median.
* New, ``nanmean``, ``nanvar``, and ``nanstd`` functions skipping NaNs.
* New, ``full`` and ``full_like`` functions to create value initialized arrays.
* New, ``PyUFunc_RegisterLoopForDescr``, better ufunc support for user dtypes.
* Numerous performance improvements in many areas.
* Support for Python versions 2.4 and 2.5 has been dropped.
* Support for SCons has been removed.
* New, no 2to3, Python 2 and Python 3 are supported by a common code base.
* New, gufuncs for linear algebra, enabling operations on stacked arrays.
* New, inplace fancy indexing for ufuncs with the ``.at`` method.
* New, ``partition`` function, partial sorting via selection for fast median.
* New, ``nanmean``, ``nanvar``, and ``nanstd`` functions skipping NaNs.
* New, ``full`` and ``full_like`` functions to create value initialized arrays.
* New, ``PyUFunc_RegisterLoopForDescr``, better ufunc support for user dtypes.
* Numerous performance improvements in many areas.
* Support for Python versions 2.4 and 2.5 has been dropped.
* Support for SCons has been removed.