On 9/28/2019 12:12 PM, Charles R Harris wrote:
I'm actually pleased that the install succeeded on Window, although you won't have good BLAS/LAPACK, just the numpy C versions of lapack_lite. The warning/error is a bit
concerning though, it would be nice to know if it is from Python3.8 pip or numpy
On Fri, Sep 27, 2019 at 10:12 AM Alan Isaac wrote:
Upgrading numpy with pip on Python 3.8b4 on Win 10
produced:
ERROR: Could not install packages due to an
EnvironmentError: [WinError 123] The filename,
directory name, or volume label syntax is incorrect:
&#x
Upgrading numpy with pip on Python 3.8b4 on Win 10 produced:
ERROR: Could not install packages due to an EnvironmentError: [WinError 123] The
filename, directory name, or volume label syntax is incorrect: '"C:'
However, the install appears to have been successful.
f
gns are usually carefully considered.
Cheers, Alan Isaac
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iest and least buggy transition away from np.matrix.
But since `a.H` would not be a view of `a`, most probably any `a.H`
proposal should be discarded as misleading and not materially better than
the existing syntax (a.conj().T).
I trust nobody is proposing to change `transpose`.
Iirc, that works only on (2-d) matrices.
Cheers, Alan Isaac
On 6/24/2019 10:45 AM, Todd wrote:
I think the corresponding MATLAB function/operation is this:
https://www.mathworks.com/help/matlab/ref/transpose.html
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Points of reference:
Mathematica: https://reference.wolfram.com/language/ref/Transpose.html
Matlab: https://www.mathworks.com/help/matlab/ref/permute.html
Personally I would find any divergence between a.T and a.transpose()
to be rather surprising.
Cheers, Alan Isaac
hon's `reduce` is certainly
conceivable for the fold.)
Thank you,
Alan Isaac
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leads to a flipcause site that fails
to clarify. I suspect many academic institutions would be interested
in making occasional, modest contributions toward NumPy development,
if the recipient and intended uses were entirely transparent.
Cheers, Alan Isaac
On 4/9/2019 3:10 AM, Ralf Gommers wrote
cular case?
Alan Isaac
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eparate functions in apparently
similar cases. (I am not at all trying to claim that the
argument against flag parameters is definitive; I'm just
mentioning that this viewpoint has already been
promulgated on this list.)
Cheers, Alan Isaac
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Some people consider that not to be Pythonic:
https://mail.python.org/pipermail/python-dev/2003-October/038855.html
Alan Isaac
On 4/12/2018 1:36 PM, Joseph Fox-Rabinovitz wrote:
Would it break backwards compatibility to add the input as a return value to
np.random.shuffle? I doubt anyone out
On 6/27/2017 5:35 PM, Nathaniel Smith wrote:
I remember... The major issue here is that some people want dot(a, b) on
Boolean matrices to use these semantics, right?
Yes; this has worked in the past, and loss of this functionality is unexpected.
That said, I haven't used this outside of a tea
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