Hi,
I've finally finished review of
https://github.com/numpy/numpy/pull/439
which back-ports all the PRs from master into the release branch and
pushed it in. Here is the current status of bugs for the 1.7.0
release:
https://github.com/numpy/numpy/issues/396
I believe that for example a lot
On Sun, Sep 16, 2012 at 9:19 AM, Ondřej Čertík ondrej.cer...@gmail.comwrote:
Hi,
I've finally finished review of
https://github.com/numpy/numpy/pull/439
which back-ports all the PRs from master into the release branch and
pushed it in. Here is the current status of bugs for the 1.7.0
=
Announcing python-blosc 1.0.5
=
What is it?
===
A Python wrapper for the Blosc compression library.
Blosc (http://blosc.pytables.org) is a high performance compressor
optimized for binary data. It has been designed to transmit
Hello All,
I have a bit of code that nicely accomplishes what I need for a course I
am teaching. I'd like to extend this for larger 3D grids, and I suspect
that the looping will be a brutal performance hit. Even if my suspicions
are not confirmed, I still would like to know if it's possible to
dimensions are not allowed
The test results are at
http://www.lfd.uci.edu/~gohlke/pythonlibs/tests/20120916-win-amd64-py2.7-numpy-MKL-1.7.0rc1.dev-50f71cb/
Christoph
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dimensions are not allowed
The test results are at
http://www.lfd.uci.edu/~gohlke/pythonlibs/tests/20120916-win-amd64-py2.7-numpy-MKL-1.7.0rc1.dev-50f71cb/
Christoph
Hi,
https://github.com/numpy/numpy/pull/445 should fix negative
dimensions are not allowed, the other one I have not yet been
: too many indices
ValueError: negative dimensions are not allowed
The test results are at
http://www.lfd.uci.edu/~gohlke/pythonlibs/tests/20120916-win-amd64-py2.7-numpy-MKL-1.7.0rc1.dev-50f71cb/
Christoph
Hi,
https://github.com/numpy/numpy/pull/445 should fix negative
dimensions