On Sun, Sep 7, 2014 at 4:33 AM, Julian Taylor <[email protected] > wrote:
> Hello, > > We are proud to announce the 1.9.0 release of NumPy. > > This release includes numerous performance improvements, most > significantly the indexing code has been rewritten be a lot 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, > bincount, searchsorted, count_nonzero, floating point min/max, boolean > argmin/argmax, triu/tril, masked sorting can be expected to perform > significantly better in many cases. > > Also NumPy 1.9.0 releases the GIL for more functions, most notably > 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 changes 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/1.9.0 > > Cheers, > The NumPy Development Team > Great! Thanks for all the work you did getting this out. Chuck
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