[SciPy-Dev] ANN: NumPy 1.9.0 release candidate 1 available

[Julian Taylor]

Hello,

Almost punctually for EuroScipy we have finally managed to release the
first release candidate of NumPy 1.9.
We intend to only fix bugs until the final release which we plan to do
in the next 1-2 weeks.

In this release numerous performance improvements have been added, most
significantly the indexing code has been rewritten be several times
faster for most cases and performance of using small arrays and scalars
has almost doubled.
Plenty of other functions have been improved too, nonzero, where,
count_nonzero, floating point min/max, boolean argmin/argmax,
searchsorted, triu/tril, masked sorting can be expected to perform
significantly better in many cases.

Also NumPy now releases the GIL for more functions, most notably the
indexing now releases it and the random modules state object has a
private lock instead of using the GIL. This allows leveraging pure
python threads more efficiently.

In order to make working with arrays containing NaN values easier
nanmedian and nanpercentile have been added which ignore these values.
These functions and the regular median and percentile now also support
generalized axis arguments that ufuncs already have, these allow
reducing along multiple axis in one call.

Please see the release notes for all the details. Please also take not
of the many small compatibility notes and deprecation in the notes.
https://github.com/numpy/numpy/blob/maintenance/1.9.x/doc/release/1.9.0-notes.rst

The source tarballs and win32 binaries can be downloaded here:
https://sourceforge.net/projects/numpy/files/NumPy/1.9.0rc1

Cheers,
Julian Taylor

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